Pub Date : 2017-12-07DOI: 10.1504/IJMR.2017.10008389
Hui Wang, F. Ning, Yingbin Hu, D. Du, W. Cong
Carbon fiber reinforced plastic (CFRP) composites provide excellent properties, which make them attractive in many industries. However, due to the properties of high stiffness, anisotropy, and high abrasiveness of carbon fiber in CFRPs, they are regarded as difficult-to-cut materials. To find an efficient surface grinding process for CFRP, this paper conducts an investigation using RUM. Design of experiment (DOE) is vital to evaluate effects of input variables on output variables, and it could be used to obtain the optimal values of variables in such a process. DOE could also be used to decrease the test numbers, the research cost etc. However, there are no investigations on DOE in such a process. This investigation firstly tests the effects of three input variables, including tool rotation speed, feedrate, and ultrasonic power, on output variables, including cutting force, torque, and surface roughness, at two levels. This investigation will provide guides for future research.
{"title":"Surface grinding of CFRP composites using rotary ultrasonic machining: design of experiment on cutting force, torque and surface roughness","authors":"Hui Wang, F. Ning, Yingbin Hu, D. Du, W. Cong","doi":"10.1504/IJMR.2017.10008389","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10008389","url":null,"abstract":"Carbon fiber reinforced plastic (CFRP) composites provide excellent properties, which make them attractive in many industries. However, due to the properties of high stiffness, anisotropy, and high abrasiveness of carbon fiber in CFRPs, they are regarded as difficult-to-cut materials. To find an efficient surface grinding process for CFRP, this paper conducts an investigation using RUM. Design of experiment (DOE) is vital to evaluate effects of input variables on output variables, and it could be used to obtain the optimal values of variables in such a process. DOE could also be used to decrease the test numbers, the research cost etc. However, there are no investigations on DOE in such a process. This investigation firstly tests the effects of three input variables, including tool rotation speed, feedrate, and ultrasonic power, on output variables, including cutting force, torque, and surface roughness, at two levels. This investigation will provide guides for future research.","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129450944","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 : 2017-08-29DOI: 10.1504/IJMR.2017.10006341
QUAN LIU, Aiming Liu, Yuanming Li, Wenjun Xu, Jiayi Liu, Gaobo Chen, Wei Dai
Sustainability has become an important factor from which we can judge the performance of modern manufacturing systems. The condition perception of sustainable manufacturing capability (SMC) can provide reliable manufacturing information and data support for manufacturing systems. This paper proposes an intelligent condition perception network (ICPN) for SMC of manufacturing systems, which focuses on the production condition monitoring, the energy consumption metering, and the perception data transfer. The proposed hybrid wireless perception network consists of the embedded Radio Frequency Identification (RFID) perception modules, embedded energy consumption perception modules and environment perception modules. In view of the several heterogeneous networks might coexist in the manufacturing environment, the heterogeneous networks adaptation device is designed to figure out the problem of differences of data transmission in heterogeneous networks. Finally, a prototype system is deployed in a laboratory environment. The experimental results demonstrate that the system can satisfy the requirements of condition perception for SMC.
{"title":"Intelligent condition perception network towards sustainable manufacturing capability for manufacturing systems","authors":"QUAN LIU, Aiming Liu, Yuanming Li, Wenjun Xu, Jiayi Liu, Gaobo Chen, Wei Dai","doi":"10.1504/IJMR.2017.10006341","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006341","url":null,"abstract":"Sustainability has become an important factor from which we can judge the performance of modern manufacturing systems. The condition perception of sustainable manufacturing capability (SMC) can provide reliable manufacturing information and data support for manufacturing systems. This paper proposes an intelligent condition perception network (ICPN) for SMC of manufacturing systems, which focuses on the production condition monitoring, the energy consumption metering, and the perception data transfer. The proposed hybrid wireless perception network consists of the embedded Radio Frequency Identification (RFID) perception modules, embedded energy consumption perception modules and environment perception modules. In view of the several heterogeneous networks might coexist in the manufacturing environment, the heterogeneous networks adaptation device is designed to figure out the problem of differences of data transmission in heterogeneous networks. Finally, a prototype system is deployed in a laboratory environment. The experimental results demonstrate that the system can satisfy the requirements of condition perception for SMC.","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121473494","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 : 2017-08-29DOI: 10.1504/IJMR.2017.10006345
M. Pradhan, Pankaj Gupta
Rolling element bearings are critical components of rotating mechanisms and the presence of defects may cause catastrophic failure. The early identification of such defects with the severity of damage under operating may avoid malfunctioning and breakdown. Defective bearings are the source of vibration and its signals can be used to assess the faulty bearings. The diagnosis of fault and assessment of defect severity using fault scalar indicator extracted from the time domain signal through increase in size has been presented. Six time scalar indicators, namely peak, RMS, crest factor, kurtosis, impulse factor, and shape factor have been considered. The results obtained from these fault indicators for assessing fault severity using simulation have been compared and found that they can be used for early prediction. A new scalar indicator has been developed to improve the diagnosis of defect up to a point of bearing failure and helps to take necessary action to avoid the failure. [Received 31 August 2016; Accepted 06 February 2017]
{"title":"Fault detection using vibration signal analysis of rolling element bearing in time domain using an innovative time scalar indicator","authors":"M. Pradhan, Pankaj Gupta","doi":"10.1504/IJMR.2017.10006345","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006345","url":null,"abstract":"Rolling element bearings are critical components of rotating mechanisms and the presence of defects may cause catastrophic failure. The early identification of such defects with the severity of damage under operating may avoid malfunctioning and breakdown. Defective bearings are the source of vibration and its signals can be used to assess the faulty bearings. The diagnosis of fault and assessment of defect severity using fault scalar indicator extracted from the time domain signal through increase in size has been presented. Six time scalar indicators, namely peak, RMS, crest factor, kurtosis, impulse factor, and shape factor have been considered. The results obtained from these fault indicators for assessing fault severity using simulation have been compared and found that they can be used for early prediction. A new scalar indicator has been developed to improve the diagnosis of defect up to a point of bearing failure and helps to take necessary action to avoid the failure. [Received 31 August 2016; Accepted 06 February 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937841","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 : 2017-08-29DOI: 10.1504/IJMR.2017.10006342
Myriam Leonor Niño López, Henry Lamos Díaz, Paula Julieth Jaimes Sanmiguel, Julieth Vanessa Rivera González
Lot streaming is an operational scheduling technique which allows overlapping between successive operations because of the frequent transport of transfer batches smaller than the process lot. This study aims to statistically evaluate the lot streaming impact on the dependent variables makespan and idle capacity of resources in a job shop, taking into account transportation activities. Four lot streaming policies for different demand scenarios and different products mixes are analyzed. This problem is formulated by mixed integer linear programming and solved in GAMS. Finally, statistical analysis shows the benefit on the system performance by applying this technique.(Received 14 October 2016; Accepted 09 February 2017)
{"title":"Transfer batch size impact on a job shop environment performance","authors":"Myriam Leonor Niño López, Henry Lamos Díaz, Paula Julieth Jaimes Sanmiguel, Julieth Vanessa Rivera González","doi":"10.1504/IJMR.2017.10006342","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006342","url":null,"abstract":"Lot streaming is an operational scheduling technique which allows overlapping between successive operations because of the frequent transport of transfer batches smaller than the process lot. This study aims to statistically evaluate the lot streaming impact on the dependent variables makespan and idle capacity of resources in a job shop, taking into account transportation activities. Four lot streaming policies for different demand scenarios and different products mixes are analyzed. This problem is formulated by mixed integer linear programming and solved in GAMS. Finally, statistical analysis shows the benefit on the system performance by applying this technique.(Received 14 October 2016; Accepted 09 February 2017)","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130579430","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 : 2017-08-29DOI: 10.1504/IJMR.2017.10006969
Keyvan Rahmani, V. Thomson
Production events and uncertainties impact ladle processing times, which in turn affect the steel temperature at the tundish. Deviations from the desired steel temperature in the tundish can result in production stoppage either due to premature solidification or due to liquid steel leakage at the caster. These stoppages are extremely costly and must be avoided by any means. Using a good method for estimation of heat losses that is linked to production parameters is very useful to reduce the risk of incorrect steel temperature. Most of the literature to date on computing the ladle heat loss is concerned with analytical and numerical solutions that are interesting academically or with regards to ladle design. This paper however is concerned with building a gross heat loss estimation model for a ladle in daily operation. It studies the important parameters that affect final steel temperature and uses actual production data to validate the analyses and conclusions. A rule of thumb for the cooling rate of steel in a ladle is developed with an average value of 0.55 to 1.40°C/min. [Received 25 December 2015; Accepted 22 February 2017]
{"title":"A ladle heat loss model for daily production","authors":"Keyvan Rahmani, V. Thomson","doi":"10.1504/IJMR.2017.10006969","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006969","url":null,"abstract":"Production events and uncertainties impact ladle processing times, which in turn affect the steel temperature at the tundish. Deviations from the desired steel temperature in the tundish can result in production stoppage either due to premature solidification or due to liquid steel leakage at the caster. These stoppages are extremely costly and must be avoided by any means. Using a good method for estimation of heat losses that is linked to production parameters is very useful to reduce the risk of incorrect steel temperature. Most of the literature to date on computing the ladle heat loss is concerned with analytical and numerical solutions that are interesting academically or with regards to ladle design. This paper however is concerned with building a gross heat loss estimation model for a ladle in daily operation. It studies the important parameters that affect final steel temperature and uses actual production data to validate the analyses and conclusions. A rule of thumb for the cooling rate of steel in a ladle is developed with an average value of 0.55 to 1.40°C/min. [Received 25 December 2015; Accepted 22 February 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100963","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 : 2017-08-29DOI: 10.1504/IJMR.2017.10006343
Dipesh Popli, M. Gupta
Nickel-based alloys have numerous potential engineering applications. However, their widespread applications have been hindered by the elevated machining cost. There is a crucial need for commercial and cost effective machining processes for Ni-based super alloys. Rotary ultrasonic machining (RUM) is a hybrid machining process that combines the material removal mechanisms through diamond grinding and ultrasonic vibration (USM), resulting in higher machining rate than those obtained by conventional USM. Before going to the production run, it is necessary to conduct performance analysis followed by pilot experimentation for newer material. Relationships between desired outcome and the controllable machining parameters have been deducing. However, the relationships have been studied by screening the experiments. In this paper, a three-factor two-level factorial design followed by steepest ascent is utilised to find conditions for final experimentation. [Received 16 September 2016; Accepted 12 March 2017]
{"title":"Sequential procedure for selecting the ranges of process parameters in rotary ultrasonic machining","authors":"Dipesh Popli, M. Gupta","doi":"10.1504/IJMR.2017.10006343","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006343","url":null,"abstract":"Nickel-based alloys have numerous potential engineering applications. However, their widespread applications have been hindered by the elevated machining cost. There is a crucial need for commercial and cost effective machining processes for Ni-based super alloys. Rotary ultrasonic machining (RUM) is a hybrid machining process that combines the material removal mechanisms through diamond grinding and ultrasonic vibration (USM), resulting in higher machining rate than those obtained by conventional USM. Before going to the production run, it is necessary to conduct performance analysis followed by pilot experimentation for newer material. Relationships between desired outcome and the controllable machining parameters have been deducing. However, the relationships have been studied by screening the experiments. In this paper, a three-factor two-level factorial design followed by steepest ascent is utilised to find conditions for final experimentation. [Received 16 September 2016; Accepted 12 March 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125182906","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 : 2017-08-29DOI: 10.1504/IJMR.2017.086177
P. Lou, Nianyun Liu, Yuting Chen, QUAN LIU, Zude Zhou
Statistically, up to 40% of machining errors are given with thermal errors and the proportion is as high as 70% in precision and ultra-precision machine tools. A compensation technique with creating a compensation model of the thermal error based on the relationship between temperature fields and thermal errors of machine tools is one of the most effective methods to enhance accuracy of machine tools. The key temperature measuring points have to be selected before building the thermal error compensation model because they has a great influence on the accuracy and robustness of error compensation model. In this paper, a new method to select the key temperature measuring points is presented. This method involves two phases: firstly using stability analysis of thermal error sensitivity to select the measuring points with strong correlation to thermal error; and then employing fuzzy cluster analysis to further reduce the number of the key temperature measuring points. To evaluate the performance of this method, a thermal error compensation model is built based on BP neural network to validate the selected temperature measuring points on the milling machining centre CR5116. [Received 30 April 2016; Accepted 16 November 2016]
{"title":"The selection of key temperature measuring points for the compensation of thermal errors of CNC machining tools","authors":"P. Lou, Nianyun Liu, Yuting Chen, QUAN LIU, Zude Zhou","doi":"10.1504/IJMR.2017.086177","DOIUrl":"https://doi.org/10.1504/IJMR.2017.086177","url":null,"abstract":"Statistically, up to 40% of machining errors are given with thermal errors and the proportion is as high as 70% in precision and ultra-precision machine tools. A compensation technique with creating a compensation model of the thermal error based on the relationship between temperature fields and thermal errors of machine tools is one of the most effective methods to enhance accuracy of machine tools. The key temperature measuring points have to be selected before building the thermal error compensation model because they has a great influence on the accuracy and robustness of error compensation model. In this paper, a new method to select the key temperature measuring points is presented. This method involves two phases: firstly using stability analysis of thermal error sensitivity to select the measuring points with strong correlation to thermal error; and then employing fuzzy cluster analysis to further reduce the number of the key temperature measuring points. To evaluate the performance of this method, a thermal error compensation model is built based on BP neural network to validate the selected temperature measuring points on the milling machining centre CR5116. [Received 30 April 2016; Accepted 16 November 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"1198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134288290","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 : 2017-07-28DOI: 10.1504/IJMR.2017.10005449
Bin Wu, Jing Zheng, L. Fang, Xiao-lei Chen, Z. Zou, Kai-shuan Zhang, Rong-gang Chen
The engraving process of projectile is one of the main topics of interior ballistics and has not been well known till now. Our study focuses on engraving small calibre projectile under quasi-static and dynamic loading conditions. Quasi-static tests were carried out on a MTS 810 and a gas gun-based test rig was specially designed to perform the dynamic tests. The hoop and axial strains of the outside surface of the gun barrel were monitored and analysed to reflect the interaction between the projectile and the barrel. The effects of projectile structure and loading rate on the engraving process were investigated. The experimental results showed that severe friction between the projectile and gun bore occurs and plastic deformation of the copper layer increases the engraving resistance. Changes in force and strain under different conditions indicate that many factors including projectile structure and loading rate have great influences on the engraving process. [Received 20 July 2016; Accepted 16 November 2016]
{"title":"Quasi-static and dynamic engraving of small calibre projectile","authors":"Bin Wu, Jing Zheng, L. Fang, Xiao-lei Chen, Z. Zou, Kai-shuan Zhang, Rong-gang Chen","doi":"10.1504/IJMR.2017.10005449","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10005449","url":null,"abstract":"The engraving process of projectile is one of the main topics of interior ballistics and has not been well known till now. Our study focuses on engraving small calibre projectile under quasi-static and dynamic loading conditions. Quasi-static tests were carried out on a MTS 810 and a gas gun-based test rig was specially designed to perform the dynamic tests. The hoop and axial strains of the outside surface of the gun barrel were monitored and analysed to reflect the interaction between the projectile and the barrel. The effects of projectile structure and loading rate on the engraving process were investigated. The experimental results showed that severe friction between the projectile and gun bore occurs and plastic deformation of the copper layer increases the engraving resistance. Changes in force and strain under different conditions indicate that many factors including projectile structure and loading rate have great influences on the engraving process. [Received 20 July 2016; Accepted 16 November 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114597057","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 : 2017-07-28DOI: 10.1504/IJMR.2017.10005446
L. Zhang, Xin Li
A partitioned time marching algorithm is used for the thermal-fluidstructure interaction analysis based on solutions of the fluid (include thermal) and structure (include thermal) sub-problems. The finite volume method is used for the fluid sub-problem, and the finite element method is used for structure sub-problem. A new data exchange method is presented by Kriging model, which could be used for data exchange on the coupled interface from fluid to structure and structure to fluid. A flow field mesh update method is presented based on the hypothetic elastomer finite element method. A case of multi-field coupling analysis of single-stage bladed disk system in a compressor is investigated. The effect of different loading modes on mechanics characteristics of bladed disk system is discussed. [Received 17 August 2016; Revised 14 November 2016; Accepted 16 November 2016]
{"title":"Thermal-fluid-structure interaction analysis of bladed disk system based on Kriging model and hypothetic elastomer method","authors":"L. Zhang, Xin Li","doi":"10.1504/IJMR.2017.10005446","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10005446","url":null,"abstract":"A partitioned time marching algorithm is used for the thermal-fluidstructure interaction analysis based on solutions of the fluid (include thermal) and structure (include thermal) sub-problems. The finite volume method is used for the fluid sub-problem, and the finite element method is used for structure sub-problem. A new data exchange method is presented by Kriging model, which could be used for data exchange on the coupled interface from fluid to structure and structure to fluid. A flow field mesh update method is presented based on the hypothetic elastomer finite element method. A case of multi-field coupling analysis of single-stage bladed disk system in a compressor is investigated. The effect of different loading modes on mechanics characteristics of bladed disk system is discussed. [Received 17 August 2016; Revised 14 November 2016; Accepted 16 November 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131066769","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 : 2017-07-28DOI: 10.1504/IJMR.2017.10005444
Jiang Han, Bin Yuan, Lulu Wu, F. Zhao, L. Xia
Gear driving occupies an indispensable position in the field of mechanical transmission of the modern industry, better texture and mechanics characteristics of gear surface contribute to better meshing quality. Gear honing has been wildly used as gear finishing process because of its better gear surface texture and higher surface residual stress than gear grinding in recent years, especially for the development of power honing with internal gearing. In this paper, the gear surface model of the bull-gear in gear box was built based on the involute helicoid theory, and then the points of gear surface were converted to the honing wheel by using the space coordinate transform theory and matrix resolution method, the tooth surface model of the honing wheel was calculated based on the honing parameters and the conjugate contact principle of internal meshing. Through analysing the relative motion velocity vector of contact lines, the formation mechanism of gear surface texture was reflected clearly with different axis-crossing angles. The results of this research have important theoretical and instructional significance for the honing process. [Received 22 July 2016; Accepted 16 November 2016]
{"title":"Mechanism study on gear tooth surface texture in power honing process","authors":"Jiang Han, Bin Yuan, Lulu Wu, F. Zhao, L. Xia","doi":"10.1504/IJMR.2017.10005444","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10005444","url":null,"abstract":"Gear driving occupies an indispensable position in the field of mechanical transmission of the modern industry, better texture and mechanics characteristics of gear surface contribute to better meshing quality. Gear honing has been wildly used as gear finishing process because of its better gear surface texture and higher surface residual stress than gear grinding in recent years, especially for the development of power honing with internal gearing. In this paper, the gear surface model of the bull-gear in gear box was built based on the involute helicoid theory, and then the points of gear surface were converted to the honing wheel by using the space coordinate transform theory and matrix resolution method, the tooth surface model of the honing wheel was calculated based on the honing parameters and the conjugate contact principle of internal meshing. Through analysing the relative motion velocity vector of contact lines, the formation mechanism of gear surface texture was reflected clearly with different axis-crossing angles. The results of this research have important theoretical and instructional significance for the honing process. [Received 22 July 2016; Accepted 16 November 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115456074","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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