Pub Date : 2020-05-01DOI: 10.1504/IJMR.2020.10018321
Asmaa Khoudi, A. Berrichi
In the majority of production scheduling studies, the objective is to minimise a criterion which is generally, function of completion times of production jobs. However, for some manufacturing systems, the reliability/availability of machines can be the most important performance criteria towards decision makers. In this paper, we deal with a production scheduling problem on identical parallel machines and the objective is to find the best assignment of jobs on machines maximising the system availability. We assume that the production system can be subject to potentially costly failures then PM actions are performed at the end of production jobs. We have proposed a branch and bound algorithm, dominance rules and an efficient upper bound to solve the proposed model optimally. Computational experiments are carried out on randomly generated test problems and results show the efficiency of the proposed upper bound and dominance rules. [Submitted 23 December 2016; Accepted 27 October 2018]
{"title":"Branch and Bound algorithm for identical parallel machine scheduling problem to maximize system availability","authors":"Asmaa Khoudi, A. Berrichi","doi":"10.1504/IJMR.2020.10018321","DOIUrl":"https://doi.org/10.1504/IJMR.2020.10018321","url":null,"abstract":"In the majority of production scheduling studies, the objective is to minimise a criterion which is generally, function of completion times of production jobs. However, for some manufacturing systems, the reliability/availability of machines can be the most important performance criteria towards decision makers. In this paper, we deal with a production scheduling problem on identical parallel machines and the objective is to find the best assignment of jobs on machines maximising the system availability. We assume that the production system can be subject to potentially costly failures then PM actions are performed at the end of production jobs. We have proposed a branch and bound algorithm, dominance rules and an efficient upper bound to solve the proposed model optimally. Computational experiments are carried out on randomly generated test problems and results show the efficiency of the proposed upper bound and dominance rules. [Submitted 23 December 2016; Accepted 27 October 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"15 1","pages":"199-217"},"PeriodicalIF":0.4,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42733432","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 : 2020-05-01DOI: 10.1504/ijmr.2020.10028784
C. R. Sanghani, G. Acharya, K. Kothari
For any process, modelling is the best way to investigate the effect of various parameters on its performance measures. The numerical modelling has been the subject of interest for researchers for a long time as compared to other techniques and hence more work has been recorded in the field of EDM using this technique. In numerical analysis, a fraction of energy transfer is a critical parameter and it depends on the workpiece-tool combination. Researchers have assumed constant value or given range for this parameter but no exact value has been reported in any literature. This paper presents a novel approach to estimate the fraction of energy transfer to the workpiece during the EDM process using a combination of experimental results and finite element analysis (FEA). To validate the model, confirmation experiments were carried out which showed good agreement between simulation and experimental results. [Submitted 17 November 2018; Accepted 27 January 2019]
{"title":"A Simulation-based Approach for Modeling of Fraction of Energy Transfer to Workpiece in Electrical Discharge Machining","authors":"C. R. Sanghani, G. Acharya, K. Kothari","doi":"10.1504/ijmr.2020.10028784","DOIUrl":"https://doi.org/10.1504/ijmr.2020.10028784","url":null,"abstract":"For any process, modelling is the best way to investigate the effect of various parameters on its performance measures. The numerical modelling has been the subject of interest for researchers for a long time as compared to other techniques and hence more work has been recorded in the field of EDM using this technique. In numerical analysis, a fraction of energy transfer is a critical parameter and it depends on the workpiece-tool combination. Researchers have assumed constant value or given range for this parameter but no exact value has been reported in any literature. This paper presents a novel approach to estimate the fraction of energy transfer to the workpiece during the EDM process using a combination of experimental results and finite element analysis (FEA). To validate the model, confirmation experiments were carried out which showed good agreement between simulation and experimental results. [Submitted 17 November 2018; Accepted 27 January 2019]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"15 1","pages":"285-296"},"PeriodicalIF":0.4,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46406840","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 : 2020-03-31DOI: 10.1504/IJMR.2020.10018368
Vinayak R. Malik, N. Sanjeev, Padmakumar Bajakke
Friction stir welding (FSW) is a solid-state joining process, which is gaining significance in many joining applications, by overcoming the limitations of other fusion welding processes. For successful incorporation of its potential during industrial applications, mechanism of joining needs to be properly comprehended. The solution lies in developing effective and reliable finite element (FE) model of the FSW process, which would help in getting an insight of the process phenomena (like material flow, heat generation, etc.) during the process. The overall result could be used to observe the effect of process parameters on weld quality. Several attempts have been made to develop an FE model for FSW using different techniques. However, building an efficient model that emulates reality is still to be realised. Here, a review is made to know the current state of various FE modelling techniques and identifying better techniques for simulating FSW and its variants. This review also highlights shortcomings (for ex: mesh distortion, simulation time, the capability of defect prediction) of previous models and discusses on grey areas which are still to be addressed in the broader perspective of FSW and its allied processes using FE approach. [Submitted 06 July 2017; Accepted 29 September 2018]
{"title":"Review on Modeling of Friction Stir Welding Using Finite Element Approach and Significance of Formulations in Simulation","authors":"Vinayak R. Malik, N. Sanjeev, Padmakumar Bajakke","doi":"10.1504/IJMR.2020.10018368","DOIUrl":"https://doi.org/10.1504/IJMR.2020.10018368","url":null,"abstract":"Friction stir welding (FSW) is a solid-state joining process, which is gaining significance in many joining applications, by overcoming the limitations of other fusion welding processes. For successful incorporation of its potential during industrial applications, mechanism of joining needs to be properly comprehended. The solution lies in developing effective and reliable finite element (FE) model of the FSW process, which would help in getting an insight of the process phenomena (like material flow, heat generation, etc.) during the process. The overall result could be used to observe the effect of process parameters on weld quality. Several attempts have been made to develop an FE model for FSW using different techniques. However, building an efficient model that emulates reality is still to be realised. Here, a review is made to know the current state of various FE modelling techniques and identifying better techniques for simulating FSW and its variants. This review also highlights shortcomings (for ex: mesh distortion, simulation time, the capability of defect prediction) of previous models and discusses on grey areas which are still to be addressed in the broader perspective of FSW and its allied processes using FE approach. [Submitted 06 July 2017; Accepted 29 September 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"15 1","pages":"107-135"},"PeriodicalIF":0.4,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49382646","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: 10.1504/ijmr.2020.10027175
N. Harari, Malin Tarrar, S. Mattsson
{"title":"Using the CompleXity Index for Improvement work: Investigating utilization in an automotive company","authors":"N. Harari, Malin Tarrar, S. Mattsson","doi":"10.1504/ijmr.2020.10027175","DOIUrl":"https://doi.org/10.1504/ijmr.2020.10027175","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762482","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: 10.1504/ijmr.2020.10028785
Vitalii Vorkov, D. Vandepitte, J. Duflou
{"title":"Finite element modeling of large radius bending operation","authors":"Vitalii Vorkov, D. Vandepitte, J. Duflou","doi":"10.1504/ijmr.2020.10028785","DOIUrl":"https://doi.org/10.1504/ijmr.2020.10028785","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"5 1","pages":"297-320"},"PeriodicalIF":0.4,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762521","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: 10.1504/ijmr.2020.10027174
Jessica Bruch, C. Rösiö, A. Granlund, Peter E. Johansson
{"title":"Managing the core plant role","authors":"Jessica Bruch, C. Rösiö, A. Granlund, Peter E. Johansson","doi":"10.1504/ijmr.2020.10027174","DOIUrl":"https://doi.org/10.1504/ijmr.2020.10027174","url":null,"abstract":"","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"15 1","pages":"1"},"PeriodicalIF":0.4,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66762464","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 : 2019-05-28DOI: 10.1504/IJMR.2019.10018364
J. Patel, K. Maniya
Wire electrical discharge machining process offer opportunities to manufacturers to improve their technology, competitiveness and profitability through a highly efficient and focused approach to manufacturing effectiveness. Justification, evaluation and selection of WEDM process parameter now have been receiving significant attention in the manufacturing environment. Evaluating alternative WEDM process parameter in the presence of multiple conflicting criteria and performance measures is often a difficult task for the decision-maker. Preference ranking tools are special types of multi-criteria decision-making methods in which the decision-maker's preferences on criteria are aggregated together to arrive at the final evaluation and selection of the alternatives. This paper deals with the application of five most potential preference ranking methods for selecting the best WEDM process parameter for desired output characters ices for different aluminium metal matrix composite. [Submitted 10 October 2017; Accepted 25 March 2018]
{"title":"WEDM process parameter selection using preference ranking methods: A comparative study","authors":"J. Patel, K. Maniya","doi":"10.1504/IJMR.2019.10018364","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10018364","url":null,"abstract":"Wire electrical discharge machining process offer opportunities to manufacturers to improve their technology, competitiveness and profitability through a highly efficient and focused approach to manufacturing effectiveness. Justification, evaluation and selection of WEDM process parameter now have been receiving significant attention in the manufacturing environment. Evaluating alternative WEDM process parameter in the presence of multiple conflicting criteria and performance measures is often a difficult task for the decision-maker. Preference ranking tools are special types of multi-criteria decision-making methods in which the decision-maker's preferences on criteria are aggregated together to arrive at the final evaluation and selection of the alternatives. This paper deals with the application of five most potential preference ranking methods for selecting the best WEDM process parameter for desired output characters ices for different aluminium metal matrix composite. [Submitted 10 October 2017; Accepted 25 March 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46575221","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 : 2019-05-28DOI: 10.1504/IJMR.2019.10018362
B. S. Prasad, Y. R. Reddy
The present work primarily focuses on identifying the presence of drilling tool vibrations during the drilling process. A non-contact vibration transducer laser Doppler vibrometer (LDV) is used as part of this approach. Values of cutting forces and vibration signal features (SFs) with the progression cutting tool wear in dry machining of Ti-6Al-4V and Al7075 are recorded and analysed. This paper presents a modified mathematical model in an attempt to understand tool life under vibratory cutting conditions. Identifying the relationship among tool wear, cutting forces and displacement due to vibration is a critical task in the present study. These results are used to predict the evolution of displacement and tool wear in the experiment. The effect of workpiece movement due to vibration on the tool wear is critically examined. Finally, tool wear is determined by the maximum displacement that can be borne in a process for an efficient tool condition monitoring system. [Submitted 21 January 2017; Accepted 16 March 2018]
{"title":"ANALYSIS OF REAL TIME VIBRATION ASSISTED TOOL CONDITION MONITORING IN DRILLING","authors":"B. S. Prasad, Y. R. Reddy","doi":"10.1504/IJMR.2019.10018362","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10018362","url":null,"abstract":"The present work primarily focuses on identifying the presence of drilling tool vibrations during the drilling process. A non-contact vibration transducer laser Doppler vibrometer (LDV) is used as part of this approach. Values of cutting forces and vibration signal features (SFs) with the progression cutting tool wear in dry machining of Ti-6Al-4V and Al7075 are recorded and analysed. This paper presents a modified mathematical model in an attempt to understand tool life under vibratory cutting conditions. Identifying the relationship among tool wear, cutting forces and displacement due to vibration is a critical task in the present study. These results are used to predict the evolution of displacement and tool wear in the experiment. The effect of workpiece movement due to vibration on the tool wear is critically examined. Finally, tool wear is determined by the maximum displacement that can be borne in a process for an efficient tool condition monitoring system. [Submitted 21 January 2017; Accepted 16 March 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47092932","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 : 2019-05-28DOI: 10.1504/IJMR.2019.10020608
W. Ming, Lei Zhou, Changying Wang, X. Cai, L. Jing, Ming Chen
Milling force is an important factor in determining the machined surface quality of carbon fibre reinforced polymer (CFRP) in milling process. This paper focuses on the radial force and tangential force under different fibre orientation angles during the milling of unidirectional T800/X850 CFRP laminates. The traditional straight slot milling is replaced by the circumferential slot milling in the experiment and the idea of small scale approximation is applied in analysis of data. Using this method, the milling force under all fibre orientation angles can be obtained approximately by a single experiment and the radial force and tangential force during the milling process can be obtained through mechanical modelling. Through processing experimental data, the coefficients in the theoretical formula of CFRP milling are fitted to get a function about milling force on cut depth, feed and tool rotation angle. And this function can be used to optimise milling parameters and fibre orientation during slot milling. [Submitted 16 January 2017; Accepted 18 December 2017]
{"title":"Modeling and Experiment of Milling Force under All Fiber Orientation Angles in Slot Milling of Unidirectional CFRP Laminates","authors":"W. Ming, Lei Zhou, Changying Wang, X. Cai, L. Jing, Ming Chen","doi":"10.1504/IJMR.2019.10020608","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10020608","url":null,"abstract":"Milling force is an important factor in determining the machined surface quality of carbon fibre reinforced polymer (CFRP) in milling process. This paper focuses on the radial force and tangential force under different fibre orientation angles during the milling of unidirectional T800/X850 CFRP laminates. The traditional straight slot milling is replaced by the circumferential slot milling in the experiment and the idea of small scale approximation is applied in analysis of data. Using this method, the milling force under all fibre orientation angles can be obtained approximately by a single experiment and the radial force and tangential force during the milling process can be obtained through mechanical modelling. Through processing experimental data, the coefficients in the theoretical formula of CFRP milling are fitted to get a function about milling force on cut depth, feed and tool rotation angle. And this function can be used to optimise milling parameters and fibre orientation during slot milling. [Submitted 16 January 2017; Accepted 18 December 2017]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44722228","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 : 2019-05-28DOI: 10.1504/IJMR.2019.10020606
P. Kapse, M. Telsang
This paper reports parametric optimisation of air plasma arc cutting (PAC) of structural steel St.52-3, which is widely used in bridge construction and ship building. Response variables considered are material removal rate, a surface roughness (Rz5-mean height of profile) as well as a size of heat affected zone (HAZ) which are critical for corresponding fatigue life. Screening experiment showed pressure, current, arc voltage and speed as factors having an influence on responses of interest. The experimental runs were planned by using Box-Behnken response surface design, and the grey-based fuzzy algorithm was employed to predict the optimal process parameter setting combination. The confirmation test conducted shows an improvement in grey-fuzzy relational grade by about 19%. This highlights the usefulness of grey-fuzzy algorithm as a multi-objective optimiser for plasma arc cutting. The effect of process parameters on performance characteristics has also been discussed resulting in better understanding of the plasma arc cutting process. [Submitted 29 July 2017; Accepted 15 April 2018]
{"title":"Parametric investigation and optimisation of plasma arc cutting of structural steel St.52-3 using grey-based fuzzy algorithm.","authors":"P. Kapse, M. Telsang","doi":"10.1504/IJMR.2019.10020606","DOIUrl":"https://doi.org/10.1504/IJMR.2019.10020606","url":null,"abstract":"This paper reports parametric optimisation of air plasma arc cutting (PAC) of structural steel St.52-3, which is widely used in bridge construction and ship building. Response variables considered are material removal rate, a surface roughness (Rz5-mean height of profile) as well as a size of heat affected zone (HAZ) which are critical for corresponding fatigue life. Screening experiment showed pressure, current, arc voltage and speed as factors having an influence on responses of interest. The experimental runs were planned by using Box-Behnken response surface design, and the grey-based fuzzy algorithm was employed to predict the optimal process parameter setting combination. The confirmation test conducted shows an improvement in grey-fuzzy relational grade by about 19%. This highlights the usefulness of grey-fuzzy algorithm as a multi-objective optimiser for plasma arc cutting. The effect of process parameters on performance characteristics has also been discussed resulting in better understanding of the plasma arc cutting process. [Submitted 29 July 2017; Accepted 15 April 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"1 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2019-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42178030","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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