Stephen Saturday Onosemudiana, Oladayo Olaniran, D. Folorunso, H. K. Talabi
Objective: This work is designed to enhance the insulating properties of Omifun kaolin from Ose Local Government of Ondo State, Nigeria for furnace insulation by reinforcing it with some additives such as high alumina cement and oil palm fruit fiber. This was aimed at developing local technology for the production of insulating bricks in such a way as to reduce the sole dependency on importations of insulating bricks to service the available furnaces in the country. Methods: Sieve analysis was performed on the Omifun kaolin. Characterization by X-ray Fluorescence (XRF), X-ray Diffraction (XRD), and Scanning Electron Microscopy/ Energy Dispersive Spectroscopy (SEM/EDS). Subsequently, the samples of kaolin reinforced with pulverized palm fruit fiber (1,2,3,4, and 5%) were prepared and tested for permeability. The sample with the best potential was further mixed with varying weight percent (3, 6, 9, 12, 15, 18, 21, and 24%) of high alumina cement, fired within 800-1200℃, and further tested for bulk density, compressive strength, thermal shock resistance (TSR), and linear expansion. Results: The characterization revealed, in the acceptable limits, the relative quantities of the desired oxides (SiO2, Al2O3, and CaO) with phases (kaolinite, quartz, and plagioclase) expected of good insulating bricks. From the samples containing fixed 3% palm fruit fiber and varying percentages (3, 6, 9, 15, 18, 21, and 24%) of high alumina cement, the sample containing 3% palm fruit fiber and 9% addition of high alumina cement exhibited the most promising qualities desired of good material for furnace insulation applications. Conclusion: The characterization techniques adopted in this study; XRD, XRF, and SEM/EDS revealed, in the acceptable limits, the relative quantities of the desired oxides (SiO2, Al2O3, and CaO) and phases (kaolinite, quartz, and plagioclase) expected of good insulating bricks are present in Omifun kaolin. With permeability of 44.69%, crushing strength of 54.09KN/cm2, linear expansion of -0.39mm, TSR of 24 cycles, and bulk density of 1.93g/cm3 at firing temperature range 800-1200℃, Omifun kaolin can compete and successfully replace imported insulating bricks.
{"title":"Influence of Palm Fruit Fibe and High Alumina Cement on Omifun Kaolin for Furnace Insulation","authors":"Stephen Saturday Onosemudiana, Oladayo Olaniran, D. Folorunso, H. K. Talabi","doi":"10.53964/jmim.2024006","DOIUrl":"https://doi.org/10.53964/jmim.2024006","url":null,"abstract":"Objective: This work is designed to enhance the insulating properties of Omifun kaolin from Ose Local Government of Ondo State, Nigeria for furnace insulation by reinforcing it with some additives such as high alumina cement and oil palm fruit fiber. This was aimed at developing local technology for the production of insulating bricks in such a way as to reduce the sole dependency on importations of insulating bricks to service the available furnaces in the country. Methods: Sieve analysis was performed on the Omifun kaolin. Characterization by X-ray Fluorescence (XRF), X-ray Diffraction (XRD), and Scanning Electron Microscopy/ Energy Dispersive Spectroscopy (SEM/EDS). Subsequently, the samples of kaolin reinforced with pulverized palm fruit fiber (1,2,3,4, and 5%) were prepared and tested for permeability. The sample with the best potential was further mixed with varying weight percent (3, 6, 9, 12, 15, 18, 21, and 24%) of high alumina cement, fired within 800-1200℃, and further tested for bulk density, compressive strength, thermal shock resistance (TSR), and linear expansion. Results: The characterization revealed, in the acceptable limits, the relative quantities of the desired oxides (SiO2, Al2O3, and CaO) with phases (kaolinite, quartz, and plagioclase) expected of good insulating bricks. From the samples containing fixed 3% palm fruit fiber and varying percentages (3, 6, 9, 15, 18, 21, and 24%) of high alumina cement, the sample containing 3% palm fruit fiber and 9% addition of high alumina cement exhibited the most promising qualities desired of good material for furnace insulation applications. Conclusion: The characterization techniques adopted in this study; XRD, XRF, and SEM/EDS revealed, in the acceptable limits, the relative quantities of the desired oxides (SiO2, Al2O3, and CaO) and phases (kaolinite, quartz, and plagioclase) expected of good insulating bricks are present in Omifun kaolin. With permeability of 44.69%, crushing strength of 54.09KN/cm2, linear expansion of -0.39mm, TSR of 24 cycles, and bulk density of 1.93g/cm3 at firing temperature range 800-1200℃, Omifun kaolin can compete and successfully replace imported insulating bricks.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141393218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: The objectives of this paper are to highlight the significance of vibration analysis, especially in predictive maintenance for rotating machinery, and to emphasize the importance of detecting bearing defects that may result in machinery failure. Methods: The proposed methodology combines the use of time-synchronous averaging (TSA) with existing vibration analysis techniques. TSA involves aligning vibration data with specific events or phases in the machinery's operation, such as shaft rotation. By synchronizing the data in this way, the methodology aims to reduce noise and enhance the signal related to bearing defects, making them more distinguishable. Additionally, the methodology incorporates well-established vibration analysis techniques. These techniques may include frequency analysis, amplitude modulation analysis, waveform analysis, and others commonly used in the field of condition monitoring and predictive maintenance. Results: The results of the analysis begin with waveform analysis, which involves examining the shape and pattern of vibration signals captured from the pinion. This analysis provides valuable insights into the dynamic behavior of the pinion gear, including any variations or abnormalities in its motion. Moreover, the use of synchronized waveforms is crucial in this analysis. By aligning the vibration data with specific events or phases in the gear mesh cycle, such as tooth engagement, the analysis can pinpoint moments when potential faults or wear in the machinery may occur. This synchronization allows for a more precise assessment of the vibration signals, enabling the detection of irregularities that may indicate underlying issues with the pinion or other components of the machinery. Conclusion: A pivotal aspect of the methodology involves envelope spectra analysis, significantly enhancing diagnostic capabilities. This analysis identifies fault patterns that might not be readily apparent in conventional vibration analysis. The incorporation of envelope spectra proves instrumental in proactive maintenance, enabling early detection of potential issues. This, in turn, contributes to the overall reliability and optimization of machinery performance.
{"title":"Incorporating the Time-synchronous Averaging Method into Vibration Analysis Methodologies for the Detection and Localization of Bearing Defects","authors":"Z. Ghemari, S. Belkhiri, Salah Saad","doi":"10.53964/jmim.2024003","DOIUrl":"https://doi.org/10.53964/jmim.2024003","url":null,"abstract":"Objective: The objectives of this paper are to highlight the significance of vibration analysis, especially in predictive maintenance for rotating machinery, and to emphasize the importance of detecting bearing defects that may result in machinery failure. Methods: The proposed methodology combines the use of time-synchronous averaging (TSA) with existing vibration analysis techniques. TSA involves aligning vibration data with specific events or phases in the machinery's operation, such as shaft rotation. By synchronizing the data in this way, the methodology aims to reduce noise and enhance the signal related to bearing defects, making them more distinguishable. Additionally, the methodology incorporates well-established vibration analysis techniques. These techniques may include frequency analysis, amplitude modulation analysis, waveform analysis, and others commonly used in the field of condition monitoring and predictive maintenance. Results: The results of the analysis begin with waveform analysis, which involves examining the shape and pattern of vibration signals captured from the pinion. This analysis provides valuable insights into the dynamic behavior of the pinion gear, including any variations or abnormalities in its motion. Moreover, the use of synchronized waveforms is crucial in this analysis. By aligning the vibration data with specific events or phases in the gear mesh cycle, such as tooth engagement, the analysis can pinpoint moments when potential faults or wear in the machinery may occur. This synchronization allows for a more precise assessment of the vibration signals, enabling the detection of irregularities that may indicate underlying issues with the pinion or other components of the machinery. Conclusion: A pivotal aspect of the methodology involves envelope spectra analysis, significantly enhancing diagnostic capabilities. This analysis identifies fault patterns that might not be readily apparent in conventional vibration analysis. The incorporation of envelope spectra proves instrumental in proactive maintenance, enabling early detection of potential issues. This, in turn, contributes to the overall reliability and optimization of machinery performance.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"4 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: One of the important objectives in industrial applications is minimizing the consumed energy due to the unsecured supply lines because of the international crisis and the sudden increase in the prices of the crude oil as well. It is the objective of this research to investigate the effect of jerk and the minimum energy consumption per cycle of the manipulator’s actuators on the optimal trajectory of industrial manipulator. Methods: The design for optimal trajectory for industrial robots has a primary importance in attaining mass production with accurate performance. Optimal trajectory can be designed from start to goal positions to achieve certain criterion optimally such as minimum time, minimum distance and / or minimum energy consumption while avoiding obstacles during the course of motion. Results: The proposed analysis will consider also the jerk which is the time derivative of the acceleration to guarantee that the end-effector will not vibrate at the start and goal of each stroke. A polynomial of seven-degree is proposed to investigate how the jerk affects the optimality of the trajectory and the torques of the joints as well. Conclusion: From the presented parametric study and analysis, it is recommended to apply energy per cycle as a criterion for minimum kinetic energy of an industrial manipulator trajectory in spatial manoeuvring.
{"title":"Jerk and Energy Issues in Optimal Trajectory Planning for Robot Manipulators","authors":"Atef A. Ata","doi":"10.53964/jmim.2024001","DOIUrl":"https://doi.org/10.53964/jmim.2024001","url":null,"abstract":"Objective: One of the important objectives in industrial applications is minimizing the consumed energy due to the unsecured supply lines because of the international crisis and the sudden increase in the prices of the crude oil as well. It is the objective of this research to investigate the effect of jerk and the minimum energy consumption per cycle of the manipulator’s actuators on the optimal trajectory of industrial manipulator. Methods: The design for optimal trajectory for industrial robots has a primary importance in attaining mass production with accurate performance. Optimal trajectory can be designed from start to goal positions to achieve certain criterion optimally such as minimum time, minimum distance and / or minimum energy consumption while avoiding obstacles during the course of motion. Results: The proposed analysis will consider also the jerk which is the time derivative of the acceleration to guarantee that the end-effector will not vibrate at the start and goal of each stroke. A polynomial of seven-degree is proposed to investigate how the jerk affects the optimality of the trajectory and the torques of the joints as well. Conclusion: From the presented parametric study and analysis, it is recommended to apply energy per cycle as a criterion for minimum kinetic energy of an industrial manipulator trajectory in spatial manoeuvring.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":" August","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140383200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: Heating, ventilating, air-conditioning and refrigeration (HVAC&R) systems currently account for a significant portion of energy consumption. The HVAC&R system contributes the largest energy consumption in a building, so it is essential to optimize energy consumption to improve energy saving worldwide. Methods: The web-based geographic information system (GIS) enables the seamless sharing of spatial data across the globe, accessible anytime and anywhere via the World Wide Web. The set of remote reading networked sensors, advanced modems, and data loggers facilitate the intercommunication for the geodatabase of HVAC&R’s facilities. The integration of remote sensing technology and the Internet of Things, grounded in GIS establishes a control loop dedicated to energy conservation. This method is a pioneering concept in control science, offering significant potential for enhancing design, maintenance, and energy management practices. It empowers energy users with real-time control over their energy consumption, making a substantial advancement in this field. Results: In this work, the model of HVAC&R control in context with web-based GIS showed that the regression mathematical analysis in compliance with the computational method holds the capacity to predict energy consumption and evaluate energy loss. Conclusion: In regression analysis, the P was found to be 0.991 for the percentage of dissatisfaction, 0.977 for energy use intensity, and 0.962 for data envelopment analysis efficiency. Additionally, the curve estimation showed that the power function was utilized in regression analysis processes.
目标：目前，供暖、通风、空调和制冷（HVAC&R）系统占能源消耗的很大一部分。供暖、通风、空调和制冷系统是建筑物中能耗最大的部分，因此必须优化能耗，提高全球节能水平。方法基于网络的地理信息系统（GIS）实现了全球空间数据的无缝共享，可通过万维网随时随地访问。一套远程读取网络传感器、先进的调制解调器和数据记录器促进了暖通空调与制冷设施地理数据库的互联互通。遥感技术与物联网的整合，以地理信息系统为基础，建立了一个专门用于节约能源的控制回路。这种方法是控制科学中的一个开创性概念，为加强设计、维护和能源管理实践提供了巨大潜力。它赋予能源用户对其能源消耗进行实时控制的能力，在这一领域取得了重大进展。成果：在这项工作中，暖通空调与制冷控制模型与基于网络的地理信息系统相结合，显示出符合计算方法的回归数学分析具有预测能源消耗和评估能源损失的能力。结论在回归分析中发现，不满意百分比的 P 值为 0.991，能源使用强度的 P 值为 0.977，数据包络分析效率的 P 值为 0.962。此外，曲线估算表明，在回归分析过程中使用了幂函数。
{"title":"Smart Heating, Ventilating, Air-conditioning and Refrigeration by Web-based Geographic Information System","authors":"Kian Hariri Asli, K. Asli","doi":"10.53964/jmim.2023006","DOIUrl":"https://doi.org/10.53964/jmim.2023006","url":null,"abstract":"Objective: Heating, ventilating, air-conditioning and refrigeration (HVAC&R) systems currently account for a significant portion of energy consumption. The HVAC&R system contributes the largest energy consumption in a building, so it is essential to optimize energy consumption to improve energy saving worldwide. Methods: The web-based geographic information system (GIS) enables the seamless sharing of spatial data across the globe, accessible anytime and anywhere via the World Wide Web. The set of remote reading networked sensors, advanced modems, and data loggers facilitate the intercommunication for the geodatabase of HVAC&R’s facilities. The integration of remote sensing technology and the Internet of Things, grounded in GIS establishes a control loop dedicated to energy conservation. This method is a pioneering concept in control science, offering significant potential for enhancing design, maintenance, and energy management practices. It empowers energy users with real-time control over their energy consumption, making a substantial advancement in this field. Results: In this work, the model of HVAC&R control in context with web-based GIS showed that the regression mathematical analysis in compliance with the computational method holds the capacity to predict energy consumption and evaluate energy loss. Conclusion: In regression analysis, the P was found to be 0.991 for the percentage of dissatisfaction, 0.977 for energy use intensity, and 0.962 for data envelopment analysis efficiency. Additionally, the curve estimation showed that the power function was utilized in regression analysis processes.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139290484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: Today, Internet of Things (IoT) technology has a significant impact on overcoming the challenges of water loss. The IoT also helps the reducing of these challenges. This study aims to show how can by reducing the water working pressure, water saving happened through IoT. Methods: In this work, water loss in the distribution network was investigated for smart water. Smart water systems can be achieved by advanced pressure management. The water pressure changes during the day and night can lead to water losses. In this work, the network pressure variations were recorded by IoT through geospatial modeling. The difference between the present work and the previous works was the emphasis on advanced techniques including networked sensors, remote sensing, geographic information systems (GIS), and the IoT. The pressure changes analysis was carried out by WaterGEMS software and ArcGIS-ArcMap software. Results: The results showed the average water saving in 6 days after the completion of the work. The water saving was reported as 527.66m3 per day equivalent to 1.22L/h noticeably more than half 41.83% of the water which was stored during the time of extra pressure. It happened especially from 4:00 midnight to 6:00 a.m. when Minimum Night Flow decreased to 405 cubic meters per hour. Conclusion: The amount of water entrance to the network and the saving percentage were assumed as dependent and independent variables for regression analysis. The results showed the power function had a suitable correlation due to the scatter diagram and P-value.
{"title":"Smart Water System and Internet of Things","authors":"Kian Hariri Asli, K. Asli","doi":"10.53964/jmim.2023005","DOIUrl":"https://doi.org/10.53964/jmim.2023005","url":null,"abstract":"Objective: Today, Internet of Things (IoT) technology has a significant impact on overcoming the challenges of water loss. The IoT also helps the reducing of these challenges. This study aims to show how can by reducing the water working pressure, water saving happened through IoT. Methods: In this work, water loss in the distribution network was investigated for smart water. Smart water systems can be achieved by advanced pressure management. The water pressure changes during the day and night can lead to water losses. In this work, the network pressure variations were recorded by IoT through geospatial modeling. The difference between the present work and the previous works was the emphasis on advanced techniques including networked sensors, remote sensing, geographic information systems (GIS), and the IoT. The pressure changes analysis was carried out by WaterGEMS software and ArcGIS-ArcMap software. Results: The results showed the average water saving in 6 days after the completion of the work. The water saving was reported as 527.66m3 per day equivalent to 1.22L/h noticeably more than half 41.83% of the water which was stored during the time of extra pressure. It happened especially from 4:00 midnight to 6:00 a.m. when Minimum Night Flow decreased to 405 cubic meters per hour. Conclusion: The amount of water entrance to the network and the saving percentage were assumed as dependent and independent variables for regression analysis. The results showed the power function had a suitable correlation due to the scatter diagram and P-value.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126237770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: Understanding the response energy behavior of components in a dynamic system subject to blast loading is critical. The objective is to find the analytical relations between the response energy of free two degree of freedom (FTDOF) systems subject to blast loading and the parameters of the loading and the system itself so that the issues with damage assessment and response energy behavior can be resolved. Methods: Energy ratio (ER) is selected to capture the response energy behavior of system components. The energy scaling method is used, which has been effective in previous study for constrained single degree-of-freedom systems. FEA simulation and given experimental results are applied in verification. Results: Maximum response ER for FTDOF systems subject to blast loading is derived. Theoretical derivation and simulation reveal that response kinetic energy carried by any single mass alone out of two lumped masses in an elastic FTDOF system can be larger than the response kinetic energy of a rigid body system formed with any one of the two lumped masses alone subject to the same blast load. Proper mass ratio and timing are critical for the result. Further observations of a perfectly plastic FTDOF system and a simplified Hanssen pendulum system (SHPS) without allowing any disintegration demonstrates that the disintegration of the Hanssen pendulum system is the main reason for Hanssen’s unexpected results. This is not only supported by the observations in Hanssen’s experiment, but also reproducible with FEA simulation, in which 13% higher kinetic energy is observed due to the disintegration. FEA analysis also reveals that dishing and impulse amplification have no significant effects, less than 1.3% and 2% variations in the response energy of the simulated SHPS, respectively. However, the impulse amplification, which can directly impact response energy, is significant for light-weight objects or low-density low-resistance materials directly facing blast loading. For damage assessment, any FTDOF system can dynamically be converted into an equivalent single degree-of-freedom system. Conclusion: The energy scaling method is effective in deriving the response ER analytically and obtaining the method of damage assessment for FTDOF systems. Maximum response ER≥1 for FTDOF systems is significant different from single degree-of-freedom systems. The disintegration of the Hanssen pendulum system is the main reason of the unexpected experimental results. Careful integration and constraint of components for systems constructed with cladding layers are extremely important. Effects of dishing and impulse amplification are ignorable on SHPS. Light-weight objects or low-density low-resistance materials directly subject to blast loading can result in unexpected error in FEA simulation. The method of damage assessment for FTDOF systems is developed.
{"title":"Response Energy Behavior and Blast Damage Assessment of Unconstrained Simplified Dynamic Systems Subject to Blast Loading","authors":"Yijian Shi","doi":"10.53964/jmim.2023004","DOIUrl":"https://doi.org/10.53964/jmim.2023004","url":null,"abstract":"Objective: Understanding the response energy behavior of components in a dynamic system subject to blast loading is critical. The objective is to find the analytical relations between the response energy of free two degree of freedom (FTDOF) systems subject to blast loading and the parameters of the loading and the system itself so that the issues with damage assessment and response energy behavior can be resolved. Methods: Energy ratio (ER) is selected to capture the response energy behavior of system components. The energy scaling method is used, which has been effective in previous study for constrained single degree-of-freedom systems. FEA simulation and given experimental results are applied in verification. Results: Maximum response ER for FTDOF systems subject to blast loading is derived. Theoretical derivation and simulation reveal that response kinetic energy carried by any single mass alone out of two lumped masses in an elastic FTDOF system can be larger than the response kinetic energy of a rigid body system formed with any one of the two lumped masses alone subject to the same blast load. Proper mass ratio and timing are critical for the result. Further observations of a perfectly plastic FTDOF system and a simplified Hanssen pendulum system (SHPS) without allowing any disintegration demonstrates that the disintegration of the Hanssen pendulum system is the main reason for Hanssen’s unexpected results. This is not only supported by the observations in Hanssen’s experiment, but also reproducible with FEA simulation, in which 13% higher kinetic energy is observed due to the disintegration. FEA analysis also reveals that dishing and impulse amplification have no significant effects, less than 1.3% and 2% variations in the response energy of the simulated SHPS, respectively. However, the impulse amplification, which can directly impact response energy, is significant for light-weight objects or low-density low-resistance materials directly facing blast loading. For damage assessment, any FTDOF system can dynamically be converted into an equivalent single degree-of-freedom system. Conclusion: The energy scaling method is effective in deriving the response ER analytically and obtaining the method of damage assessment for FTDOF systems. Maximum response ER≥1 for FTDOF systems is significant different from single degree-of-freedom systems. The disintegration of the Hanssen pendulum system is the main reason of the unexpected experimental results. Careful integration and constraint of components for systems constructed with cladding layers are extremely important. Effects of dishing and impulse amplification are ignorable on SHPS. Light-weight objects or low-density low-resistance materials directly subject to blast loading can result in unexpected error in FEA simulation. The method of damage assessment for FTDOF systems is developed.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kushnarev Leonid Ivanovich, Kushnarev Sergey Leonidovich
The possibilities of solving the problems formed in modern engineering in Russia, associated with the low competitiveness of domestic technology, are investigated. Organizational, technological and economic solutions have been proposed that will accelerate the improvement of product quality and the expansion of production volumes in accordance with the requirements of technological modernization of the country's economy. At the core of these decisions there is the organization of large machine-building companies and complexes capable of raising the quality of mechanical engineering products to the level of the world's best analogues at all stages of the machines’ life cycle, as well as the reasonable choice of the areas of diversification and technological modernization of production, the organization of branded engineering and technical support for manufactured machines and equipment.
{"title":"Quality of Machinery and Equipment Provides a Strategy for the Breakthrough in Mechanical Engineering","authors":"Kushnarev Leonid Ivanovich, Kushnarev Sergey Leonidovich","doi":"10.53964/jmim.2023003","DOIUrl":"https://doi.org/10.53964/jmim.2023003","url":null,"abstract":"The possibilities of solving the problems formed in modern engineering in Russia, associated with the low competitiveness of domestic technology, are investigated. Organizational, technological and economic solutions have been proposed that will accelerate the improvement of product quality and the expansion of production volumes in accordance with the requirements of technological modernization of the country's economy. At the core of these decisions there is the organization of large machine-building companies and complexes capable of raising the quality of mechanical engineering products to the level of the world's best analogues at all stages of the machines’ life cycle, as well as the reasonable choice of the areas of diversification and technological modernization of production, the organization of branded engineering and technical support for manufactured machines and equipment.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: Exposure is one of the important steps in semiconductor production. During exposure, semiconductor devices should be kept at a small geometric distance to improve space utilization. How to consider the exposure optimization in the placement process and reduce the process error is a valuable problem. Methods: In this paper, we studied the optimization of wafer exposure pattern, and divided the IC layout optimization problem into two steps. Firstly, based on the idea of greed, orthogonal rectangular devices are packaged into rectangles to improve the local space utilization as much as possible. For rectangle splicing, we have designed a set of prior rules to make the wafer exposure mode tend to be similar in aspect ratio and small in total area. At the same time, we have designed an improved pheromone storage structure to optimize the two-dimensional layout through ant colony algorithm. Results: In the experimental stage, we use the ant colony algorithm to optimize the overall two-dimensional placement combined with prior rules to test. Experiments show that our ant colony algorithm performs better in technical indicators, especially in the aspect ratio control is very strict. In the layout test of 10 rectangular devices and 9 polygonal devices, the area utilization reaches 0.87, takes 9 seconds, and the aspect ratio is 1.02. Conclusions: We tested the algorithm on the multi project wafer placement test data provided by Huada Jiutian, and achieved better results than the baseline ant colony algorithm.
{"title":"An Integrated Circuit Placement Algorithm Considering Exposure Optimization","authors":"G. Jin, Tong Zhou, Yafei Jiang, Tingzhen Liu","doi":"10.53964/jmim.2023002","DOIUrl":"https://doi.org/10.53964/jmim.2023002","url":null,"abstract":"Objective: Exposure is one of the important steps in semiconductor production. During exposure, semiconductor devices should be kept at a small geometric distance to improve space utilization. How to consider the exposure optimization in the placement process and reduce the process error is a valuable problem. Methods: In this paper, we studied the optimization of wafer exposure pattern, and divided the IC layout optimization problem into two steps. Firstly, based on the idea of greed, orthogonal rectangular devices are packaged into rectangles to improve the local space utilization as much as possible. For rectangle splicing, we have designed a set of prior rules to make the wafer exposure mode tend to be similar in aspect ratio and small in total area. At the same time, we have designed an improved pheromone storage structure to optimize the two-dimensional layout through ant colony algorithm. Results: In the experimental stage, we use the ant colony algorithm to optimize the overall two-dimensional placement combined with prior rules to test. Experiments show that our ant colony algorithm performs better in technical indicators, especially in the aspect ratio control is very strict. In the layout test of 10 rectangular devices and 9 polygonal devices, the area utilization reaches 0.87, takes 9 seconds, and the aspect ratio is 1.02. Conclusions: We tested the algorithm on the multi project wafer placement test data provided by Huada Jiutian, and achieved better results than the baseline ant colony algorithm.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131196786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calculation of the Modulus of Meshing of Spur Gears According to the Wear Resistance of Gear Teeth","authors":"","doi":"10.53964/jmim.2023001","DOIUrl":"https://doi.org/10.53964/jmim.2023001","url":null,"abstract":"","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132189456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: The purpose of this paper is to explore the value of wooden dust char (WDC) as a reductant of iron ore. Methods: The reduction of iron orepellet was performed using WDC, non-coking coal and low volatile weakly coking coal as a reductant at temperatures of 900, 950, 1000 and 1000°C and degrees of reduction of pellets were calculated by using the following formula: Results: In WDC, the maximum reduction of iron ore particles, i.e. 89.86%, was obtained within 60min at 1050°C, while 82.16% and 46.52% were obtained for non-coking coal and low volatile coking coal, respectively, under same conditions. Conclusion: Instead of referring to them as wastes, we should rather consider them biomass by products, which allows for a more efficient use of various types of biomass waste. Importantly, the iron and steel industries excel at reasonable utilization that shift the waste material into things of value.
{"title":"A Comparative Study of the Reduction of Iron Ore Pellets Using Different Reductants: A Statistical Approach","authors":"S. Suman, D. K. Rajak","doi":"10.53964/jmim.2022007","DOIUrl":"https://doi.org/10.53964/jmim.2022007","url":null,"abstract":"Objective: The purpose of this paper is to explore the value of wooden dust char (WDC) as a reductant of iron ore. Methods: The reduction of iron orepellet was performed using WDC, non-coking coal and low volatile weakly coking coal as a reductant at temperatures of 900, 950, 1000 and 1000°C and degrees of reduction of pellets were calculated by using the following formula: Results: In WDC, the maximum reduction of iron ore particles, i.e. 89.86%, was obtained within 60min at 1050°C, while 82.16% and 46.52% were obtained for non-coking coal and low volatile coking coal, respectively, under same conditions. Conclusion: Instead of referring to them as wastes, we should rather consider them biomass by products, which allows for a more efficient use of various types of biomass waste. Importantly, the iron and steel industries excel at reasonable utilization that shift the waste material into things of value.","PeriodicalId":370927,"journal":{"name":"Journal of Modern Industry and Manufacturing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132022482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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