Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041193
D. Ilesanmi, Isaac Thlabadira, S. Phokobye, Siviwe Mrausi, K. Mpofu, L. Masu
Titanium alloy (Ti6Al4V) possesses excellent mechanical properties, but its machinability at high temperature and speed often lead to vibration and subsequently chatter during machining operations. In this work, the modelling and optimization of the cutting parameters for the milling operations of titanium alloy Ti6Al4V was carried out. The numerical experiment was conducted using the Response Surface Methodology (RSM). The process parameters considered include; the maximum chip thickness (0.1-0.2 mm), cutting speed (29000-34000 mm/min) and feed per tooth (0.14 - 0.28 mm). These process parameters were varied over different levels. The physical experiment was conducted on a DMU80monoBLOCK Deckel Maho 5-axis CNC milling with the stationary dynamometer (KISTLER 9257A 8-Channel Summation of Type 5001A Multichannel Amplifier) mounted directly to the machine table with the titanium alloy screwed to it. The response of the experiment; cutting force for each of the experimental trial was collected through the Data Acquisition System (DAS) of the Kistler Dynamometer. The results obtained indicate significant model terms which implies that the developed model is suitable for predictive purpose and that the process parameters can significantly influence the magnitude of the cutting forces.
钛合金(Ti6Al4V)具有优异的机械性能，但其在高温高速下的可加工性往往导致其在加工过程中产生振动和颤振。本文对钛合金Ti6Al4V的铣削加工参数进行了建模和优化。采用响应面法(RSM)进行了数值试验。考虑的工艺参数包括;最大切屑厚度(0.1-0.2 mm)，切削速度(29000-34000 mm/min)，每齿进给量(0.14 - 0.28 mm)。这些工艺参数在不同水平上是不同的。物理实验是在一台DMU80monoBLOCK Deckel Maho五轴数控铣床上进行的，固定式测功机(KISTLER 9257A 8通道sum of Type 5001A多通道放大器)直接安装在机床工作台上，用钛合金螺钉固定。实验的响应;通过奇石乐测力仪的数据采集系统(DAS)采集每次试验的切削力。结果表明，所建立的模型具有显著的模型项，表明工艺参数对切削力的大小有显著的影响。
{"title":"Modelling and Optimization of the Cutting Parameters for the Milling Operation of Titanium Alloy (Ti6Al4V)","authors":"D. Ilesanmi, Isaac Thlabadira, S. Phokobye, Siviwe Mrausi, K. Mpofu, L. Masu","doi":"10.1109/ICMIMT49010.2020.9041193","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041193","url":null,"abstract":"Titanium alloy (Ti6Al4V) possesses excellent mechanical properties, but its machinability at high temperature and speed often lead to vibration and subsequently chatter during machining operations. In this work, the modelling and optimization of the cutting parameters for the milling operations of titanium alloy Ti6Al4V was carried out. The numerical experiment was conducted using the Response Surface Methodology (RSM). The process parameters considered include; the maximum chip thickness (0.1-0.2 mm), cutting speed (29000-34000 mm/min) and feed per tooth (0.14 - 0.28 mm). These process parameters were varied over different levels. The physical experiment was conducted on a DMU80monoBLOCK Deckel Maho 5-axis CNC milling with the stationary dynamometer (KISTLER 9257A 8-Channel Summation of Type 5001A Multichannel Amplifier) mounted directly to the machine table with the titanium alloy screwed to it. The response of the experiment; cutting force for each of the experimental trial was collected through the Data Acquisition System (DAS) of the Kistler Dynamometer. The results obtained indicate significant model terms which implies that the developed model is suitable for predictive purpose and that the process parameters can significantly influence the magnitude of the cutting forces.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126714095","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041174
Shen Xinyi, W. Aimin, Ge Yan, Ye Jieran
In order to satisfy better the actual situation of modern manufacturing enterprise workshop scheduling and the need of lean production, this paper considers the job shop scheduling problem with inventories and batch size of each job. In this problem, for some jobs, if the inventory can meet the demand, no further processing is required. Therefore, the actual processing batch size of a job is its demand size minus the inventory size of the job. Job sizes influence the starting time of operations. With the objective of minimizing the makespan of all jobs, a mixed integer programming model is established. A genetic algorithm is used to solve the proposed model. Finally, a program was developed with the actual data, job sizes, inventories and the job sizes of starting operations to verify the feasibility and effectiveness of the algorithm. The result shows that the algorithm achieves satisfactory results in all indexes mentioned above.
{"title":"Job Shop Scheduling Problem with Job Sizes and Inventories","authors":"Shen Xinyi, W. Aimin, Ge Yan, Ye Jieran","doi":"10.1109/ICMIMT49010.2020.9041174","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041174","url":null,"abstract":"In order to satisfy better the actual situation of modern manufacturing enterprise workshop scheduling and the need of lean production, this paper considers the job shop scheduling problem with inventories and batch size of each job. In this problem, for some jobs, if the inventory can meet the demand, no further processing is required. Therefore, the actual processing batch size of a job is its demand size minus the inventory size of the job. Job sizes influence the starting time of operations. With the objective of minimizing the makespan of all jobs, a mixed integer programming model is established. A genetic algorithm is used to solve the proposed model. Finally, a program was developed with the actual data, job sizes, inventories and the job sizes of starting operations to verify the feasibility and effectiveness of the algorithm. The result shows that the algorithm achieves satisfactory results in all indexes mentioned above.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046478","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041218
Ge Yan, W. Aimin, Zhao Zijin
In the flexible job shop scheduling problem (FJSP), jobs are always processed in batches. Considering the scheduling objective of minimising the maximum completion time (Cmax), splitting each job into sublots is necessary. However, if the sublots are too small, the time loss caused by the frequent change of jobs on the same machine will increase. Therefore, all processes involved in the FJSP must be split into sublots considering efficiency. This paper proposes a mathematical model with the objective function of minimising the maximum completion time Cmax and the research objective of providing process-level batches and a scheduling technology for the FJSP with setups and sublots. A genetic algorithm is applied to optimise the allocation of the process-level batches on the machines. Finally, a software system for algorithm verification that verifies the validity of our proposed algorithm was developed.
{"title":"Flexible Job-Shop Scheduling with Setups and Variable Sublots","authors":"Ge Yan, W. Aimin, Zhao Zijin","doi":"10.1109/ICMIMT49010.2020.9041218","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041218","url":null,"abstract":"In the flexible job shop scheduling problem (FJSP), jobs are always processed in batches. Considering the scheduling objective of minimising the maximum completion time (Cmax), splitting each job into sublots is necessary. However, if the sublots are too small, the time loss caused by the frequent change of jobs on the same machine will increase. Therefore, all processes involved in the FJSP must be split into sublots considering efficiency. This paper proposes a mathematical model with the objective function of minimising the maximum completion time Cmax and the research objective of providing process-level batches and a scheduling technology for the FJSP with setups and sublots. A genetic algorithm is applied to optimise the allocation of the process-level batches on the machines. Finally, a software system for algorithm verification that verifies the validity of our proposed algorithm was developed.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132857863","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}
Pub Date : 2020-01-01DOI: 10.1109/icmimt49010.2020.9041197
{"title":"ICMIMT 2020 Message from the Conference Chair","authors":"","doi":"10.1109/icmimt49010.2020.9041197","DOIUrl":"https://doi.org/10.1109/icmimt49010.2020.9041197","url":null,"abstract":"","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133753227","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041207
V. Gasiyarov, A. Radionov, A. Karandaev, V. Khramshin, B. Loginov
It was noted that the cause for increased waste during plate rolling is the plate shape deviation (non-rectangular). An efficient method for improving the plate sheet (in plan view) is forming conical shapes on the head and end areas in final runs during broaching and width breakdown. The paper presents the ASC (automated size control) technology that incorporates a multiple-point strategy for gage setting along the rolling length. The paper considers a simplified structural diagram of the automated gage control system (AGCS) of plate mill 5000. Following the oscillogram analysis, it was concluded that the gage control accuracy in shaped rolling areas, upon the given AGCS configuration, is intolerable. The paper suggests a method for enhancing the accuracy of controlling with affecting the screwdown device position in the gage setting signal function (feedforward control). The paper presents the structure of a double-circuit AGCS with an additional setting signal-based control channel. Also, this paper presents the analysis of time relationships of the feed gage derived from simulation modeling during implementing the designed and developed algorithms. The reduction in the control error by means of enhancing the AGCS operating speed was proven. Oscillograms obtained during implementing the developed algorithms in the APCS of the plate mill 5000 reversing stand were analyzed. It was proven that the quality of the plate rolled was improved by virtue of reducing the gage difference in end areas.
{"title":"Improving the Algorithm of Automated Gage Control during Shaped Feed Rolling on a Plate Mill","authors":"V. Gasiyarov, A. Radionov, A. Karandaev, V. Khramshin, B. Loginov","doi":"10.1109/ICMIMT49010.2020.9041207","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041207","url":null,"abstract":"It was noted that the cause for increased waste during plate rolling is the plate shape deviation (non-rectangular). An efficient method for improving the plate sheet (in plan view) is forming conical shapes on the head and end areas in final runs during broaching and width breakdown. The paper presents the ASC (automated size control) technology that incorporates a multiple-point strategy for gage setting along the rolling length. The paper considers a simplified structural diagram of the automated gage control system (AGCS) of plate mill 5000. Following the oscillogram analysis, it was concluded that the gage control accuracy in shaped rolling areas, upon the given AGCS configuration, is intolerable. The paper suggests a method for enhancing the accuracy of controlling with affecting the screwdown device position in the gage setting signal function (feedforward control). The paper presents the structure of a double-circuit AGCS with an additional setting signal-based control channel. Also, this paper presents the analysis of time relationships of the feed gage derived from simulation modeling during implementing the designed and developed algorithms. The reduction in the control error by means of enhancing the AGCS operating speed was proven. Oscillograms obtained during implementing the developed algorithms in the APCS of the plate mill 5000 reversing stand were analyzed. It was proven that the quality of the plate rolled was improved by virtue of reducing the gage difference in end areas.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889272","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041152
S. Winberg
There is an ever-increasing desire for higher agricultural production, greater flexibility and better quality of crops – but doing this using less fossil fuel, less waste and in more ethical ways causing minimal environmental harm. The farming ecosystems are already notoriously fragile: failure of crops or a lack of labor can cause a farm to flounder – and these additional pressures may cause the practice of farming to be even more difficult. Industry 4.0 is on the rise – and indeed these technologies have found widespread adoption, to varying degrees, through the agricultural sector. But are these Industry 4.0 technologies for the greater good? What do these technologies mean to farming? What is the likely impact on faming-related jobs? These issues are explored in greater depth in this paper, where it is revealed that not all these technologies lead to massive job losses; they may rather lead to farm workers breaking away from ‘job lock’ by developing greater farming skills and becoming highly responsible and responsive elements of a robust farming ecosystem.
{"title":"Towards Incorporating Industry 4.0 Practices and Hybridized Jobs within the Agricultural Sector","authors":"S. Winberg","doi":"10.1109/ICMIMT49010.2020.9041152","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041152","url":null,"abstract":"There is an ever-increasing desire for higher agricultural production, greater flexibility and better quality of crops – but doing this using less fossil fuel, less waste and in more ethical ways causing minimal environmental harm. The farming ecosystems are already notoriously fragile: failure of crops or a lack of labor can cause a farm to flounder – and these additional pressures may cause the practice of farming to be even more difficult. Industry 4.0 is on the rise – and indeed these technologies have found widespread adoption, to varying degrees, through the agricultural sector. But are these Industry 4.0 technologies for the greater good? What do these technologies mean to farming? What is the likely impact on faming-related jobs? These issues are explored in greater depth in this paper, where it is revealed that not all these technologies lead to massive job losses; they may rather lead to farm workers breaking away from ‘job lock’ by developing greater farming skills and becoming highly responsible and responsive elements of a robust farming ecosystem.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132323209","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041240
Marlene Kuhn, J. Franke
Autonomous driving is inducing a paradigm shift in the automotive electrical system industry towards higher process transparency and reliability. In manufacturing, this requires the implementation of a traceability system, which allows comprehending the product’s configuration and batch structure as well as its process history, including quality tests, resource data, and machine parameters. In this research, we specify the traceability scheme for automotive electrical systems with regard to the newly arising requirements in the context of autonomous driving. We further derive an aligned traceability information system architecture based on manufacturing data events, in which relevant traceability functionalities are provided through microservices. Our research, therefore, overcomes the shortcomings of state-of-the-art monolithic traceability solutions, contributing a scalable and configurable manufacturing data design, which leverages data utilization in distributed and complex manufacturing flows.
{"title":"Smart Manufacturing Traceability for Automotive E/E Systems enabled by Event-Driven Microservice Architecture","authors":"Marlene Kuhn, J. Franke","doi":"10.1109/ICMIMT49010.2020.9041240","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041240","url":null,"abstract":"Autonomous driving is inducing a paradigm shift in the automotive electrical system industry towards higher process transparency and reliability. In manufacturing, this requires the implementation of a traceability system, which allows comprehending the product’s configuration and batch structure as well as its process history, including quality tests, resource data, and machine parameters. In this research, we specify the traceability scheme for automotive electrical systems with regard to the newly arising requirements in the context of autonomous driving. We further derive an aligned traceability information system architecture based on manufacturing data events, in which relevant traceability functionalities are provided through microservices. Our research, therefore, overcomes the shortcomings of state-of-the-art monolithic traceability solutions, contributing a scalable and configurable manufacturing data design, which leverages data utilization in distributed and complex manufacturing flows.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123170610","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041209
W. Kang, W. Aimin, Xu Kai, Chang Xiaofei
As a commonly used difficult-to-machine material, Machining of SiCp/Al composite has always been a difficult problem in machining. Aiming at the problems of difficult machining, severe tool wear, and high milling force, the processing parameters of the material were optimized to find the best combination of parameters to reduce milling force and reduce tool wear. At the same time, ultrasonic vibration assisted processing is added for comparison. The research shows that selecting the correct processing technology parameters and adding ultrasonic vibration assisted processing can effectively improve the problem of large milling force in the processing process, reduce tool wear, and obtain the best combination of process parameters.
{"title":"SiCp/Al milling force optimization and empirical formula modeling","authors":"W. Kang, W. Aimin, Xu Kai, Chang Xiaofei","doi":"10.1109/ICMIMT49010.2020.9041209","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041209","url":null,"abstract":"As a commonly used difficult-to-machine material, Machining of SiCp/Al composite has always been a difficult problem in machining. Aiming at the problems of difficult machining, severe tool wear, and high milling force, the processing parameters of the material were optimized to find the best combination of parameters to reduce milling force and reduce tool wear. At the same time, ultrasonic vibration assisted processing is added for comparison. The research shows that selecting the correct processing technology parameters and adding ultrasonic vibration assisted processing can effectively improve the problem of large milling force in the processing process, reduce tool wear, and obtain the best combination of process parameters.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130985447","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041187
V. Songmene, O. Olufayo
Machining is necessary to shape parts but it is also an important source of pollution (such as dust and aerosols) and this constitutes hazards for machine-tools operators. The emission of dust and the overall shop floor air quality are of great concern when shaping dusty materials such as granite (containing silica) but also composites and metals. In recent times, occupational health and safety regulations have become more severe. To quickly comply with new regulations, engineers and researchers must help industries in developing strategies to limit workers risk of exposure to these hazards. This article review progress on research works conducted on fine and ultrafine particle emission during the machining and polishing of granite and metals. The focus is on occupational health and safety (OHS) aspects but also on the effects of machining conditions on machining shop floor air quality and means of reducing at the sources of these hazards without negatively influencing the productivity of the machining process.
{"title":"Advances in Fine and Ultrafine Particles Emission and Dispersion in Machining: cases of metals and granite","authors":"V. Songmene, O. Olufayo","doi":"10.1109/ICMIMT49010.2020.9041187","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041187","url":null,"abstract":"Machining is necessary to shape parts but it is also an important source of pollution (such as dust and aerosols) and this constitutes hazards for machine-tools operators. The emission of dust and the overall shop floor air quality are of great concern when shaping dusty materials such as granite (containing silica) but also composites and metals. In recent times, occupational health and safety regulations have become more severe. To quickly comply with new regulations, engineers and researchers must help industries in developing strategies to limit workers risk of exposure to these hazards. This article review progress on research works conducted on fine and ultrafine particle emission during the machining and polishing of granite and metals. The focus is on occupational health and safety (OHS) aspects but also on the effects of machining conditions on machining shop floor air quality and means of reducing at the sources of these hazards without negatively influencing the productivity of the machining process.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133892673","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}
Pub Date : 2020-01-01DOI: 10.1109/ICMIMT49010.2020.9041185
A. Iqbal, G. Zhao, Hazwani Suhaimi, M. M. Nauman
A continual rise in the usage of titanium alloy for structural applications calls for sustainability in its shaping processes. Machining is the most commonly utilized process of the manufacturing domain. As the temperature dependent modes of tool damage seriously limit the material removal rates in the machining of titanium alloys, cryogenic approaches of heat dissipation are required to make the process sustainable. The paper focuses on application of two kinds of cryogenic fluids, liquid nitrogen and carbon dioxide snow, for a reduction in tool wear rate, work surface roughness, specific cutting energy and cutting forces in a continuous machining process. Moreover, the effect of changing depth of cut in machining a given volume of the work material without a change in processing time is also quantified. The analyses of the experimental data reveal that both the cryogenic approaches yielded positive results with respect to all the sustainability measures.
{"title":"Sustainable Face-Machining of a Ti-6Al-4V Rod under Cooling Environments of Liquid Nitrogen and CO2 Snow","authors":"A. Iqbal, G. Zhao, Hazwani Suhaimi, M. M. Nauman","doi":"10.1109/ICMIMT49010.2020.9041185","DOIUrl":"https://doi.org/10.1109/ICMIMT49010.2020.9041185","url":null,"abstract":"A continual rise in the usage of titanium alloy for structural applications calls for sustainability in its shaping processes. Machining is the most commonly utilized process of the manufacturing domain. As the temperature dependent modes of tool damage seriously limit the material removal rates in the machining of titanium alloys, cryogenic approaches of heat dissipation are required to make the process sustainable. The paper focuses on application of two kinds of cryogenic fluids, liquid nitrogen and carbon dioxide snow, for a reduction in tool wear rate, work surface roughness, specific cutting energy and cutting forces in a continuous machining process. Moreover, the effect of changing depth of cut in machining a given volume of the work material without a change in processing time is also quantified. The analyses of the experimental data reveal that both the cryogenic approaches yielded positive results with respect to all the sustainability measures.","PeriodicalId":377249,"journal":{"name":"2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114257616","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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