Pub Date : 2021-01-12DOI: 10.1504/IJMMM.2021.10034804
A. Ginting, C. Haron, I. Bencheikh, M. Nouari
Objective of the present work is focused to study the characteristics of monolayer PVD-coated carbide AlTiN and TiCN cutting tools. Some features related to machinability such as tool wear, tool life, and surface roughness were adopted to study the tools characteristics. Moreover, effort was also paid to determine the cutting condition for both cutting tools that subjected to another feature, namely volume of material removal (VMR). The results of experiment showed that AlTiN gained higher cutting condition than TiCN due to higher usage temperature of its coating material. However, TiCN produced higher VMR than AlTiN and longer tool life. Flank wear and chipping were observed as the wear modes of both cutting tools. Surface roughness was resulted at the quality of medium finish. The finite element method was utilised to provide an orthogonal cutting simulation for resulting the map of cutting temperature distribution at the tool-chip interface. Finally, multi-objective genetic algorithm optimisation was employed for obtaining the optimum yield of VMR.
{"title":"Study on characteristics of AlTiN and TiCN coating layers deposited on carbide cutting tools in hard turning of steel: experimental, simulation and optimisation","authors":"A. Ginting, C. Haron, I. Bencheikh, M. Nouari","doi":"10.1504/IJMMM.2021.10034804","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10034804","url":null,"abstract":"Objective of the present work is focused to study the characteristics of monolayer PVD-coated carbide AlTiN and TiCN cutting tools. Some features related to machinability such as tool wear, tool life, and surface roughness were adopted to study the tools characteristics. Moreover, effort was also paid to determine the cutting condition for both cutting tools that subjected to another feature, namely volume of material removal (VMR). The results of experiment showed that AlTiN gained higher cutting condition than TiCN due to higher usage temperature of its coating material. However, TiCN produced higher VMR than AlTiN and longer tool life. Flank wear and chipping were observed as the wear modes of both cutting tools. Surface roughness was resulted at the quality of medium finish. The finite element method was utilised to provide an orthogonal cutting simulation for resulting the map of cutting temperature distribution at the tool-chip interface. Finally, multi-objective genetic algorithm optimisation was employed for obtaining the optimum yield of VMR.","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44249568","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 : 2021-01-12DOI: 10.1504/IJMMM.2021.10034796
B. Yuvaraju, B. K. Nanda, Jithendra Srinivas
This paper presents passive vibration control methodology in internal turning process with the use of hybrid nanocomposite coatings (nano-SiC/GFRE) on the surface of boring bar. Natural frequencies and damping ratio of different composition tool holders are obtained experimentally using impact hammer test. Three different configuration considered are: conventional (tool holder 1); nano-SiC/GFRE with 1% SiC (tool holder 2); and nano-SiC/GFRE with 2% SiC (tool holder 3). A better damping ability is noticed in third configuration of tool holder compared to others. Furthermore, using single mode data, analytical stability lobe diagrams are constructed for all three tool holders. Moreover, Box-Behnken design (BBD) is adopted and a set of fifteen experiments are performed with each tool holder. For third configuration of tool holder, effect of input variables on the surface roughness and tool vibration amplitudes is studied using neural network model. Finally, the neural network regression model is employed as a function estimation tool in simulated annealing for obtaining optimal cutting conditions.
{"title":"Optimal cutting state predictions in internal turning operation with nano-SiC/GFRE composite layered boring tools","authors":"B. Yuvaraju, B. K. Nanda, Jithendra Srinivas","doi":"10.1504/IJMMM.2021.10034796","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10034796","url":null,"abstract":"This paper presents passive vibration control methodology in internal turning process with the use of hybrid nanocomposite coatings (nano-SiC/GFRE) on the surface of boring bar. Natural frequencies and damping ratio of different composition tool holders are obtained experimentally using impact hammer test. Three different configuration considered are: conventional (tool holder 1); nano-SiC/GFRE with 1% SiC (tool holder 2); and nano-SiC/GFRE with 2% SiC (tool holder 3). A better damping ability is noticed in third configuration of tool holder compared to others. Furthermore, using single mode data, analytical stability lobe diagrams are constructed for all three tool holders. Moreover, Box-Behnken design (BBD) is adopted and a set of fifteen experiments are performed with each tool holder. For third configuration of tool holder, effect of input variables on the surface roughness and tool vibration amplitudes is studied using neural network model. Finally, the neural network regression model is employed as a function estimation tool in simulated annealing for obtaining optimal cutting conditions.","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42169598","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 : 2021-01-12DOI: 10.1504/IJMMM.2021.10034800
J. Ajithkumar, M. A. Xavior
This experimental study analyses the machinability of two composites namely: 1) Al7075-10%SiC-0.1% grapheme; 2) Al7075-10%SiC-0.1% CNT by turning process using uncoated and diamond-like carbon (DLC) coated carbide inserts. Composites were fabricated through united stir and squeeze casting process with ultra-sonification. The effect of graphene and CNT on cutting force, surface roughness, flank wear, crater wear and chip morphology were quantified and presented. Graphene-based composite, recorded the highest cutting force (383.4 N) followed by CNT-based (318.6 N). Higher surface roughness (0.8519 μm) was observed in CNT-based composite and least in (0.4428 μm) graphene-based. CNT-based composite recorded the highest flank wear (0.3544 mm) and graphene-based observed the least flank wear (0.2253 mm). It was also noted that the presence of graphene showed more influence in the chip morphology. Further, the effect of graphene and CNT reinforcements on the micro-structural properties were also investigated.
{"title":"Machinability studies on Al7075-based hybrid composites reinforced with SiC, graphene and CNT","authors":"J. Ajithkumar, M. A. Xavior","doi":"10.1504/IJMMM.2021.10034800","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10034800","url":null,"abstract":"This experimental study analyses the machinability of two composites namely: 1) Al7075-10%SiC-0.1% grapheme; 2) Al7075-10%SiC-0.1% CNT by turning process using uncoated and diamond-like carbon (DLC) coated carbide inserts. Composites were fabricated through united stir and squeeze casting process with ultra-sonification. The effect of graphene and CNT on cutting force, surface roughness, flank wear, crater wear and chip morphology were quantified and presented. Graphene-based composite, recorded the highest cutting force (383.4 N) followed by CNT-based (318.6 N). Higher surface roughness (0.8519 μm) was observed in CNT-based composite and least in (0.4428 μm) graphene-based. CNT-based composite recorded the highest flank wear (0.3544 mm) and graphene-based observed the least flank wear (0.2253 mm). It was also noted that the presence of graphene showed more influence in the chip morphology. Further, the effect of graphene and CNT reinforcements on the micro-structural properties were also investigated.","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45682212","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 : 2021-01-12DOI: 10.1504/IJMMM.2021.10034798
A. Popov, I. Krasnikova
Currently, two methods are most often used to determine the ploughing forces: the extrapolation on zero uncut chip thickness and the comparison of total forces at different flank wears. These methods assume that the processes occurring on the front surface of the tool cause no effect on the processes transpiring on the rear surface. This study attempted to prove the connection between these processes, and both methods cannot be used to find the ploughing forces. The results showed that the increase in the uncut chip thickness causes the increase in the ploughing forces. This finding proves the connection between the processes occurring on the front and rear surfaces. To reveal the ploughing forces, we suggest using the third method, the comparison method of the total forces for different contact areas, which is based on the dependence of the processes on the rear surface on the processes on the front surface.
{"title":"The problem of determining the ploughing forces","authors":"A. Popov, I. Krasnikova","doi":"10.1504/IJMMM.2021.10034798","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10034798","url":null,"abstract":"Currently, two methods are most often used to determine the ploughing forces: the extrapolation on zero uncut chip thickness and the comparison of total forces at different flank wears. These methods assume that the processes occurring on the front surface of the tool cause no effect on the processes transpiring on the rear surface. This study attempted to prove the connection between these processes, and both methods cannot be used to find the ploughing forces. The results showed that the increase in the uncut chip thickness causes the increase in the ploughing forces. This finding proves the connection between the processes occurring on the front and rear surfaces. To reveal the ploughing forces, we suggest using the third method, the comparison method of the total forces for different contact areas, which is based on the dependence of the processes on the rear surface on the processes on the front surface.","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42539699","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 : 2021-01-12DOI: 10.1504/IJMMM.2021.10034797
D. S. Stephen, P. Sethuramalingam
This investigation is focused on studying grinding of titanium alloys (Ti-6Al-4V) by using nano Al2O3 grinding wheel as an alternative approach to existing methods of grinding. To evaluate optimum conditions of grinding process output, a full factorial technique has been used. L27 orthogonal array was chosen to arrive at an optimised permutation of grinding depth of cut, speed and feed. Consequently, the optimal combination of parameters was tested and results were compared with those of a conventional grinding wheel. The results show superior surface finish on Ti alloy when ground with nano Al2O3 grinding wheel. Confirmatory tests assured that a great improvement in grey relational grade with fuzzy logic, from 0.551 to 0.749 was observed, which substantiates the progress in the performance at best possible levels of nano grinding parameters. Improvement of 21.47% in surface finish of the ground material using combinations of fuzzy grey relational analysis have been achieved.
{"title":"An application of fuzzy logic with grey relational technique in grinding process using nano Al2O3 grinding wheel on Ti-6Al-4V alloy","authors":"D. S. Stephen, P. Sethuramalingam","doi":"10.1504/IJMMM.2021.10034797","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10034797","url":null,"abstract":"This investigation is focused on studying grinding of titanium alloys (Ti-6Al-4V) by using nano Al2O3 grinding wheel as an alternative approach to existing methods of grinding. To evaluate optimum conditions of grinding process output, a full factorial technique has been used. L27 orthogonal array was chosen to arrive at an optimised permutation of grinding depth of cut, speed and feed. Consequently, the optimal combination of parameters was tested and results were compared with those of a conventional grinding wheel. The results show superior surface finish on Ti alloy when ground with nano Al2O3 grinding wheel. Confirmatory tests assured that a great improvement in grey relational grade with fuzzy logic, from 0.551 to 0.749 was observed, which substantiates the progress in the performance at best possible levels of nano grinding parameters. Improvement of 21.47% in surface finish of the ground material using combinations of fuzzy grey relational analysis have been achieved.","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46648181","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 : 2021-01-01DOI: 10.1504/ijmmm.2021.10042061
Mohanad Alabdullah, G. Littlefair, Ashwin Polishetty
{"title":"Finite Element Analysis Machining Assessment Study of AL-6XN and Inconel 718 alloys","authors":"Mohanad Alabdullah, G. Littlefair, Ashwin Polishetty","doi":"10.1504/ijmmm.2021.10042061","DOIUrl":"https://doi.org/10.1504/ijmmm.2021.10042061","url":null,"abstract":"","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66739110","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 : 2021-01-01DOI: 10.1504/ijmmm.2021.10045373
S. Hiremath, P. Prashanth
{"title":"Quality improvement in mechanical micro-drilling of titanium alloy under dry conditions","authors":"S. Hiremath, P. Prashanth","doi":"10.1504/ijmmm.2021.10045373","DOIUrl":"https://doi.org/10.1504/ijmmm.2021.10045373","url":null,"abstract":"","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66739223","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 : 2021-01-01DOI: 10.1504/ijmmm.2021.10045378
M. Vahdati, H. Parvaz, S. Hosseini, M. Heidari
{"title":"Effect of nano-void position on surface integrity in nanomachining of single crystal copper","authors":"M. Vahdati, H. Parvaz, S. Hosseini, M. Heidari","doi":"10.1504/ijmmm.2021.10045378","DOIUrl":"https://doi.org/10.1504/ijmmm.2021.10045378","url":null,"abstract":"","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66739234","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 : 2021-01-01DOI: 10.1504/IJMMM.2021.10036526
Amal S. Siju, S. Waigaonkar
{"title":"Effect of rake surface textures spacing and width on the cutting performance of inserts in dry machining of titanium alloy","authors":"Amal S. Siju, S. Waigaonkar","doi":"10.1504/IJMMM.2021.10036526","DOIUrl":"https://doi.org/10.1504/IJMMM.2021.10036526","url":null,"abstract":"","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66738978","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 : 2021-01-01DOI: 10.1504/ijmmm.2021.10041677
Seyyed Mohammadbagher Tabatabaei, S. A. L. Rostami, Y. Shokoohi, A. Kolahdooz, Esmaeil Damavandi
{"title":"Multi-Objective Parameter Optimization to Improve Machining Performance on Deep Drilling Process","authors":"Seyyed Mohammadbagher Tabatabaei, S. A. L. Rostami, Y. Shokoohi, A. Kolahdooz, Esmaeil Damavandi","doi":"10.1504/ijmmm.2021.10041677","DOIUrl":"https://doi.org/10.1504/ijmmm.2021.10041677","url":null,"abstract":"","PeriodicalId":55894,"journal":{"name":"International Journal of Machining and Machinability of Materials","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66739044","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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