Pub Date : 2018-07-25DOI: 10.1504/IJMR.2018.10010162
S. Wu, Yangyang Wang, Xianli Liu, Hairui Liu, Li Xu
During the machining of the complex surface of impeller-type parts, the processing system together with the quality of the machined surface could be affected by the overall stiffness of the machine-cutting tool and the stiffness distribution of the workpiece. In this paper, the system stiffness field model and three-dimensional force ellipsoid are proposed and constructed. In particular for the five-axis NC machining centre, the corresponding sampling points are set on the workpiece surface by applying the matrix operations to the multibody deformation theory. Moreover, an integrated stiffness field of the processing system is developed via different tool spatial gestures. It is concluded from the experiment that the stiffness of the blade top is weak with strong vibrations and low machining precisions, which means deformations could easily arise in this region and influence the machining precision significantly. Ultimately, the blade processing techniques could be developed to minimise the machining error. [Submitted 25 December 2016; Accepted 24 October 2017]
{"title":"Effects of the comprehensive stiffness performance of the impeller processing system on the machining error","authors":"S. Wu, Yangyang Wang, Xianli Liu, Hairui Liu, Li Xu","doi":"10.1504/IJMR.2018.10010162","DOIUrl":"https://doi.org/10.1504/IJMR.2018.10010162","url":null,"abstract":"During the machining of the complex surface of impeller-type parts, the processing system together with the quality of the machined surface could be affected by the overall stiffness of the machine-cutting tool and the stiffness distribution of the workpiece. In this paper, the system stiffness field model and three-dimensional force ellipsoid are proposed and constructed. In particular for the five-axis NC machining centre, the corresponding sampling points are set on the workpiece surface by applying the matrix operations to the multibody deformation theory. Moreover, an integrated stiffness field of the processing system is developed via different tool spatial gestures. It is concluded from the experiment that the stiffness of the blade top is weak with strong vibrations and low machining precisions, which means deformations could easily arise in this region and influence the machining precision significantly. Ultimately, the blade processing techniques could be developed to minimise the machining error. [Submitted 25 December 2016; Accepted 24 October 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117224818","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 : 2018-07-25DOI: 10.1504/IJMR.2018.10011161
Xiang Chen, Yukui Wang, Zhenlong Wang
In this paper, response surface method (RSM) was used to predict and optimise the material removal rate (MRR) and the surface roughness (SR) of meso gear in micro wire electrical discharge machining (wire-EDM) process. Open voltage, pulse duration and pulse duration were considered as input factors. The numerical models of MRR and SR were established and the ANOVA analysis of MRR and SR were also conducted, showing that the models could be used to predict the experimental results effectively. For obtaining higher MRR and lower SR, the multiple response method was used to optimise the processing parameters. The optimal processing parameters were 85 V, 2329.91 pF, 13.06 μs respectively for open voltage, discharge capacitance and pulse duration. Ultimately, the meso gear was machined by micro wire-EDM using the optimal parameters, showing better machining quality. [Submitted 12 December 2016; Accepted 29 August 2017]
{"title":"Investigations on material removal rate and surface roughness of meso gear by micro wire-EDM","authors":"Xiang Chen, Yukui Wang, Zhenlong Wang","doi":"10.1504/IJMR.2018.10011161","DOIUrl":"https://doi.org/10.1504/IJMR.2018.10011161","url":null,"abstract":"In this paper, response surface method (RSM) was used to predict and optimise the material removal rate (MRR) and the surface roughness (SR) of meso gear in micro wire electrical discharge machining (wire-EDM) process. Open voltage, pulse duration and pulse duration were considered as input factors. The numerical models of MRR and SR were established and the ANOVA analysis of MRR and SR were also conducted, showing that the models could be used to predict the experimental results effectively. For obtaining higher MRR and lower SR, the multiple response method was used to optimise the processing parameters. The optimal processing parameters were 85 V, 2329.91 pF, 13.06 μs respectively for open voltage, discharge capacitance and pulse duration. Ultimately, the meso gear was machined by micro wire-EDM using the optimal parameters, showing better machining quality. [Submitted 12 December 2016; Accepted 29 August 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126022928","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 : 2018-07-25DOI: 10.1504/IJMR.2018.10011160
Wei Zhang, Xiuqi Chen, Fengshun He, Tong Wu
The hardness and wear resistance of hardened steel are high. It is widely applied in the field of automobile and die manufacturing field. In order to get a reasonable cutting plan, the influence of cutting parameters on milling force and temperature is explored in the process of high speed milling of hardened steel. High speed milling experiment with different machining parameters is carried out and centre composite response surface method is applied. The regression model of cutting force and cutting temperature are established in the process of high speed milling of hardened steel. The significance of the milling parameters on the force and temperature under the interaction and its reasons are analysed. Analysis of variance is performed to evaluate the significance of regression. It can effectively predict the milling force and milling temperature in the process of high speed milling of hardened steel. It provides the basis for the reasonable choice of cutting parameters. From the processed surface quality to verify that cutting parameter is selected based on prediction model and the significant analysis of milling force and temperature is more reasonable. [Submitted 25 December 2016; Accepted 29 August 2017]
{"title":"Experimental study on cutting force and cutting temperature in high speed milling of hardened steel based on response surface method","authors":"Wei Zhang, Xiuqi Chen, Fengshun He, Tong Wu","doi":"10.1504/IJMR.2018.10011160","DOIUrl":"https://doi.org/10.1504/IJMR.2018.10011160","url":null,"abstract":"The hardness and wear resistance of hardened steel are high. It is widely applied in the field of automobile and die manufacturing field. In order to get a reasonable cutting plan, the influence of cutting parameters on milling force and temperature is explored in the process of high speed milling of hardened steel. High speed milling experiment with different machining parameters is carried out and centre composite response surface method is applied. The regression model of cutting force and cutting temperature are established in the process of high speed milling of hardened steel. The significance of the milling parameters on the force and temperature under the interaction and its reasons are analysed. Analysis of variance is performed to evaluate the significance of regression. It can effectively predict the milling force and milling temperature in the process of high speed milling of hardened steel. It provides the basis for the reasonable choice of cutting parameters. From the processed surface quality to verify that cutting parameter is selected based on prediction model and the significant analysis of milling force and temperature is more reasonable. [Submitted 25 December 2016; Accepted 29 August 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127537850","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 : 2018-06-30DOI: 10.1504/IJMR.2018.092780
J. Senatore, F. Monies, W. Rubio, L. Tapie, Kwamiwi Mawussi
Flank milling of ruled surfaces is commonly applied to obtain rotating machine parts as defined using ruled surfaces. To this purpose, a wide range of positioning strategies had been studied to reduce interference between the cutting tool and the surface. Indeed, modelled ruled surfaces are non-developable meaning that they cannot be machined without interference. In order to minimise such interference, the positioning strategies studied tend to become increasingly complex, involving software programming using a dedicated language. To simplify matters and apply developed methods using standard software applications, it is proposed here to reduce interference by breaking the machined surface down into a number of sub-surfaces. The aim with this decomposition is to reduce the twist on each portion. A study of the global twist is presented showing nonlinearity with the length of the rule so that cutting methods can be demonstrated. [Received 28 November 2016; Revised 18 April 2017; Accepted 26 June 2017]
{"title":"Analysis of the twist of ruled surfaces: application to strip machining","authors":"J. Senatore, F. Monies, W. Rubio, L. Tapie, Kwamiwi Mawussi","doi":"10.1504/IJMR.2018.092780","DOIUrl":"https://doi.org/10.1504/IJMR.2018.092780","url":null,"abstract":"Flank milling of ruled surfaces is commonly applied to obtain rotating machine parts as defined using ruled surfaces. To this purpose, a wide range of positioning strategies had been studied to reduce interference between the cutting tool and the surface. Indeed, modelled ruled surfaces are non-developable meaning that they cannot be machined without interference. In order to minimise such interference, the positioning strategies studied tend to become increasingly complex, involving software programming using a dedicated language. To simplify matters and apply developed methods using standard software applications, it is proposed here to reduce interference by breaking the machined surface down into a number of sub-surfaces. The aim with this decomposition is to reduce the twist on each portion. A study of the global twist is presented showing nonlinearity with the length of the rule so that cutting methods can be demonstrated. [Received 28 November 2016; Revised 18 April 2017; Accepted 26 June 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681386","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 : 2018-06-30DOI: 10.1504/IJMR.2018.092779
Dipesh Popli, M. Gupta
Super alloy has extensive engineering applications in nuclear industries owing to its outstanding performance characteristics at elevated temperature. More than 30% of consumption in nuclear industries is super alloy. A number of holes are required to be drilled into super alloys for their final stage assembly. During conventional machining process, excessive heat is generated, which is the cause of heat treated zone that further affect the life and performance of the product. To overcome this difficulty, a rotary ultrasonic machining method came into existence to machine super alloys by hybrid cutting action (vibratory and rotary) of diamond impregnated core drill. This study focuses on the machining characteristics of super alloy by RUM process. The empirical modelling of process parameters of RUM is carried out for super alloy (Inconel 718) using an experimental design approach called response surface methodology. Material removal efficiency of RUM and surface topography of the machined material are studied. The results reported that for quality and productivity aspect, the feed rate in RUM is found a most critical factor. [Received 5 April 2017; Revised 10 June 2017; Accepted 26 June 2017]
{"title":"Investigation of machining rate and roughness for rotary ultrasonic drilling of Inconel 718 alloy with slotted diamond metal bonded tool","authors":"Dipesh Popli, M. Gupta","doi":"10.1504/IJMR.2018.092779","DOIUrl":"https://doi.org/10.1504/IJMR.2018.092779","url":null,"abstract":"Super alloy has extensive engineering applications in nuclear industries owing to its outstanding performance characteristics at elevated temperature. More than 30% of consumption in nuclear industries is super alloy. A number of holes are required to be drilled into super alloys for their final stage assembly. During conventional machining process, excessive heat is generated, which is the cause of heat treated zone that further affect the life and performance of the product. To overcome this difficulty, a rotary ultrasonic machining method came into existence to machine super alloys by hybrid cutting action (vibratory and rotary) of diamond impregnated core drill. This study focuses on the machining characteristics of super alloy by RUM process. The empirical modelling of process parameters of RUM is carried out for super alloy (Inconel 718) using an experimental design approach called response surface methodology. Material removal efficiency of RUM and surface topography of the machined material are studied. The results reported that for quality and productivity aspect, the feed rate in RUM is found a most critical factor. [Received 5 April 2017; Revised 10 June 2017; Accepted 26 June 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128696563","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 : 2018-06-30DOI: 10.1504/IJMR.2018.092776
M. H. Zahmani, B. Atmani
This paper introduces novel heuristics for the resolution of the single machine problem with total weighted tardiness by combining data mining and genetic algorithms. The aim of this approach is to use data mining techniques in order to explore, analyse, and extract knowledge from solutions for single machine scheduling problems. A hybrid genetic algorithm coupled with dispatching rules from literature is proposed to find near-optimal solutions for the single machine problem with total weighted tardiness. Using these solutions, data mining extracts knowledge which is then employed along with three proposed heuristics to solve unprecedented problems. The experiments show the superiority of the proposed approach over other well-known dispatching rules, mimicking the genetic algorithm behaviour while retaining heuristics' advantages, i.e., reduced required processing time, reactivity in dynamic scheduling, and real-time scheduling. [Received 20 December 2016; Revised 23 June 2017; Accepted 26 June 2017]
{"title":"Extraction of dispatching rules for single machine total weighted tardiness using a modified genetic algorithm and data mining","authors":"M. H. Zahmani, B. Atmani","doi":"10.1504/IJMR.2018.092776","DOIUrl":"https://doi.org/10.1504/IJMR.2018.092776","url":null,"abstract":"This paper introduces novel heuristics for the resolution of the single machine problem with total weighted tardiness by combining data mining and genetic algorithms. The aim of this approach is to use data mining techniques in order to explore, analyse, and extract knowledge from solutions for single machine scheduling problems. A hybrid genetic algorithm coupled with dispatching rules from literature is proposed to find near-optimal solutions for the single machine problem with total weighted tardiness. Using these solutions, data mining extracts knowledge which is then employed along with three proposed heuristics to solve unprecedented problems. The experiments show the superiority of the proposed approach over other well-known dispatching rules, mimicking the genetic algorithm behaviour while retaining heuristics' advantages, i.e., reduced required processing time, reactivity in dynamic scheduling, and real-time scheduling. [Received 20 December 2016; Revised 23 June 2017; Accepted 26 June 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131458984","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 : 2017-12-07DOI: 10.1504/IJMR.2017.10006344
K. D. Mohapatra, R. Dash, S. Sahoo
The present paper focuses on optimisation of response parameters in a gear cutting process by wire EDM using a hybrid entropy GRA approach. The objective of the present work is to analyse the process parameters and to study the effects and optimise the process in order to produce high quality gears. The experiment was conducted in wire EDM machine by full factorial design of experiments having 64 numbers of combinations. Titanium was taken as the work-piece material with brass as the tool electrode and distilled water as dielectric. The experiment was carried out by taking three process parameters at four different levels each. Four response parameters, i.e., MRR, kerf width, wire wear rate and tooth width error (TWE) were obtained from the experiment and the outputs were optimised by using the hybrid approach to get an optimum setting from these combinations. The optimum settings obtained endorses to produce high quality gears in near future. [Received 9 August 2016; Revised 29 March 2017; Accepted 29 March 2017]
{"title":"Analysis of process parameters in wire electric discharge machining of gear cutting process using entropy grey relational analysis approach","authors":"K. D. Mohapatra, R. Dash, S. Sahoo","doi":"10.1504/IJMR.2017.10006344","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10006344","url":null,"abstract":"The present paper focuses on optimisation of response parameters in a gear cutting process by wire EDM using a hybrid entropy GRA approach. The objective of the present work is to analyse the process parameters and to study the effects and optimise the process in order to produce high quality gears. The experiment was conducted in wire EDM machine by full factorial design of experiments having 64 numbers of combinations. Titanium was taken as the work-piece material with brass as the tool electrode and distilled water as dielectric. The experiment was carried out by taking three process parameters at four different levels each. Four response parameters, i.e., MRR, kerf width, wire wear rate and tooth width error (TWE) were obtained from the experiment and the outputs were optimised by using the hybrid approach to get an optimum setting from these combinations. The optimum settings obtained endorses to produce high quality gears in near future. [Received 9 August 2016; Revised 29 March 2017; Accepted 29 March 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"47 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":"132033471","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 : 2017-12-07DOI: 10.1504/ijmr.2017.088397
J. Ståhl
In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap incurred in connection with forced tool changes. Examples are also given of how the model developed can be used in the economic evaluation of various cutting tools and workpiece materials. [Received 20 April 2017; Accepted 22 April 2017]
{"title":"An integrated cost model for metal cutting operations based on engagement time and a cost breakdown approach","authors":"J. Ståhl","doi":"10.1504/ijmr.2017.088397","DOIUrl":"https://doi.org/10.1504/ijmr.2017.088397","url":null,"abstract":"In all manufacturing processes, it is important to determine the costs and their distribution between different sequential processing steps. A cost equation based directly on the losses during manufacturing, such as rejection rate, stops and waste of workpiece materials, also provides a valuable aid in giving priority to various development activities and investments. The present work concerns how a cost model presented earlier for calculating part costs can be developed to describe part costs as a function of the cutting data and tool life time T selected. This enables a tool life model to be a directly integrated into the cost model by use of tool engagement time. The model presented also takes into account the part costs for scrap incurred in connection with forced tool changes. Examples are also given of how the model developed can be used in the economic evaluation of various cutting tools and workpiece materials. [Received 20 April 2017; Accepted 22 April 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"40 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":"129453234","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 : 2017-12-07DOI: 10.1504/IJMR.2017.10007081
Hosein Tavakoli Hoseini, M. Farahani, M. Sohrabian
In this article, the influence of the important resistance spot welding process parameters on the shear-tensile strength of the welded joints of Inconel alloy 625 was investigated. Experimental study using full factorial design of the electrode force, welding current, welding time parameters was conducted. In order to identify the effects of each factor and their interaction, the artificial neural network was employed. The R2 equal to 98.11% of the model confirmed the effectiveness of the ANN model for describing the correlation between the welding parameters and joint strength. It was observed that the welding current was the most influential process parameter on the joint strength and in return the welding time had the least influences. Interaction between the welding parameters occurred only at very high welding currents. It was observed that the ANN model provides a lucrative reference for RSW strength characterisation of Inconel alloy 625. [Received 12 October 2016; Revised 23 January 2017; Accepted 26 April 2017]
{"title":"Process analysis of resistance spot welding on the Inconel alloy 625 using artificial neural networks","authors":"Hosein Tavakoli Hoseini, M. Farahani, M. Sohrabian","doi":"10.1504/IJMR.2017.10007081","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10007081","url":null,"abstract":"In this article, the influence of the important resistance spot welding process parameters on the shear-tensile strength of the welded joints of Inconel alloy 625 was investigated. Experimental study using full factorial design of the electrode force, welding current, welding time parameters was conducted. In order to identify the effects of each factor and their interaction, the artificial neural network was employed. The R2 equal to 98.11% of the model confirmed the effectiveness of the ANN model for describing the correlation between the welding parameters and joint strength. It was observed that the welding current was the most influential process parameter on the joint strength and in return the welding time had the least influences. Interaction between the welding parameters occurred only at very high welding currents. It was observed that the ANN model provides a lucrative reference for RSW strength characterisation of Inconel alloy 625. [Received 12 October 2016; Revised 23 January 2017; Accepted 26 April 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"55 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":"125404313","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 : 2017-12-07DOI: 10.1504/IJMR.2017.10007082
S. Saravanamurugan, S. Thiyagu, N. R. Sakthivel, B. Nair
Chatter is the main reason behind the failure of any part in the machining centre and lowers the productivity. Chatter occurs as a dynamic interaction between the tool and the work piece resulting in poor surface finish, high-pitch noise and premature tool failure. In this paper, the chatter prediction is done by active method by considering the parameters like spindle speed, depth of cut, feed rate and including the dynamics of both the tool and the workpiece. The vibration signals are acquired using an accelerometer in a closed environment. From the acquired signals discrete wavelet transformation (DWT), features are extracted and classified into three different patterns (stable, transition and chatter) using support vector machine (SVM). The classified results are validated using surface roughness values (Ra). [Received 12 August 2016; Accepted 19 May 2017]
{"title":"Chatter prediction in boring process using machine learning technique","authors":"S. Saravanamurugan, S. Thiyagu, N. R. Sakthivel, B. Nair","doi":"10.1504/IJMR.2017.10007082","DOIUrl":"https://doi.org/10.1504/IJMR.2017.10007082","url":null,"abstract":"Chatter is the main reason behind the failure of any part in the machining centre and lowers the productivity. Chatter occurs as a dynamic interaction between the tool and the work piece resulting in poor surface finish, high-pitch noise and premature tool failure. In this paper, the chatter prediction is done by active method by considering the parameters like spindle speed, depth of cut, feed rate and including the dynamics of both the tool and the workpiece. The vibration signals are acquired using an accelerometer in a closed environment. From the acquired signals discrete wavelet transformation (DWT), features are extracted and classified into three different patterns (stable, transition and chatter) using support vector machine (SVM). The classified results are validated using surface roughness values (Ra). [Received 12 August 2016; Accepted 19 May 2017]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"100 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":"124562398","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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