Pub Date : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH006
N. Faisal, S. Bhowmik, Kaushik Kumar
The tremendous growth of manufacturing industries and desired need of accuracy and precision has put a great importance on non-traditional machining processes. Metal and non-metals having properties like high strength, toughness, and hardness is generally machined by non-conventional machining methods. One of earliest non-traditional machining that is still in use and being effectively utilized in industries is wire electrical discharge machine. This machining technique gives a tough line of competition to conventional machining process like milling, grinding, broaching, etc. Cutting intricate and delicate shapes with accuracy and precision gives this machining technique an edge over other conventional machining and non-conventional machining processes. This chapter provides an insight to various research and prominent work done in field of WEDM by various scientists, researchers, and academicians. The chapter also emphasizes various advantages and disadvantages of different modelling and optimization methods used. The chapter concludes with some recommendations about trends for future WEDM researchers.
{"title":"Recent Developments in Wire Electrical Discharge Machining","authors":"N. Faisal, S. Bhowmik, Kaushik Kumar","doi":"10.4018/978-1-5225-6161-3.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH006","url":null,"abstract":"The tremendous growth of manufacturing industries and desired need of accuracy and precision has put a great importance on non-traditional machining processes. Metal and non-metals having properties like high strength, toughness, and hardness is generally machined by non-conventional machining methods. One of earliest non-traditional machining that is still in use and being effectively utilized in industries is wire electrical discharge machine. This machining technique gives a tough line of competition to conventional machining process like milling, grinding, broaching, etc. Cutting intricate and delicate shapes with accuracy and precision gives this machining technique an edge over other conventional machining and non-conventional machining processes. This chapter provides an insight to various research and prominent work done in field of WEDM by various scientists, researchers, and academicians. The chapter also emphasizes various advantages and disadvantages of different modelling and optimization methods used. The chapter concludes with some recommendations about trends for future WEDM researchers.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122306315","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH001
P. Peças, Pedro Pereira, I. Ribeiro, E. Henriques
Micro-engineering is nowadays a key industrial area with applications is a wide range of products and sectors. The need for a multiplicity of products fostered the development of several processes and combinations of processes in the world of micro-engineering. There are different feasible alternatives to produce the same kind of product. The manufacturing cost is usually the decision factor to select the best alternative among them. But cost is affected by dozens of factors and if not properly modelled causes controversy in so complex decisions. In this chapter, the application of process-based cost modelling is proposed as the engine to identify the best performance spaces for each alternative, using its potential for sensitive analysis of uncertain and/or critical parameters. To illustrate the approach, a case study is developed analyzing four alternatives for the production of a light diffuser with micro-features imbibed, involving micro-injection molding, hot-embossing, micromachining, and powder-injection molding.
{"title":"Non-Conventional Technologies Selection","authors":"P. Peças, Pedro Pereira, I. Ribeiro, E. Henriques","doi":"10.4018/978-1-5225-6161-3.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH001","url":null,"abstract":"Micro-engineering is nowadays a key industrial area with applications is a wide range of products and sectors. The need for a multiplicity of products fostered the development of several processes and combinations of processes in the world of micro-engineering. There are different feasible alternatives to produce the same kind of product. The manufacturing cost is usually the decision factor to select the best alternative among them. But cost is affected by dozens of factors and if not properly modelled causes controversy in so complex decisions. In this chapter, the application of process-based cost modelling is proposed as the engine to identify the best performance spaces for each alternative, using its potential for sensitive analysis of uncertain and/or critical parameters. To illustrate the approach, a case study is developed analyzing four alternatives for the production of a light diffuser with micro-features imbibed, involving micro-injection molding, hot-embossing, micromachining, and powder-injection molding.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017267","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH002
A. Equbal, Md. Israr Equbal, Md. Asif Equbal, A. K. Sood
Electrical discharge machining (EDM) is an important unconventional manufacturing process which machines the workpieces by a series of recurring electrical discharges between tool and workpiece completely immersed in a dielectric. A power supply establishes an electric field between tool and workpiece while a proper gap is maintained between them by a servo controller. Electrostatic force causes electrons to get plucked out from tool and workpiece forming a channel called plasma having low dielectric strength which easily ionizes producing sparks responsible for machining the workpiece. When the power supply is withdrawn, the continuous flushing of dielectric removes the debris from machined cavity in workpiece. EDM is used in machining of dies, molds, parts of aerospace, automotive industry, and surgical components. The study presents an insight on various research issues in EDM which would help the research community to establish their research objective to investigate. Based on current research trends and need of EDM study, the chapter also proposes some important future research issues.
{"title":"An Insight on Current and Imminent Research Issues in EDM","authors":"A. Equbal, Md. Israr Equbal, Md. Asif Equbal, A. K. Sood","doi":"10.4018/978-1-5225-6161-3.CH002","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH002","url":null,"abstract":"Electrical discharge machining (EDM) is an important unconventional manufacturing process which machines the workpieces by a series of recurring electrical discharges between tool and workpiece completely immersed in a dielectric. A power supply establishes an electric field between tool and workpiece while a proper gap is maintained between them by a servo controller. Electrostatic force causes electrons to get plucked out from tool and workpiece forming a channel called plasma having low dielectric strength which easily ionizes producing sparks responsible for machining the workpiece. When the power supply is withdrawn, the continuous flushing of dielectric removes the debris from machined cavity in workpiece. EDM is used in machining of dies, molds, parts of aerospace, automotive industry, and surgical components. The study presents an insight on various research issues in EDM which would help the research community to establish their research objective to investigate. Based on current research trends and need of EDM study, the chapter also proposes some important future research issues.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127566309","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH012
B. Acherjee
In this chapter, a sequential modeling approach has been applied for modeling of laser transmission welding process using finite element method (FEM) and artificial neural network (ANN) technique to predict the weld pool dimensions in a shorter time frame. The scripting language, APDL (ANSYS® Parametric Design Language), is used to develop the three-dimensional FE model. During preprocessing, all the major physical phenomena of laser transmission welding process are incorporated into the model physics. Based on the temperature field predicted by the model, the weld pool dimensions (i.e., weld width and weld penetration depth) are calculated. The weld dimensions predicted by the developed FE model are further used for training a neural network model. It is found from the results of test data sets that the developed ANN model can predict the outputs with significant accuracy and takes less prediction time, which in turn saves time, cost, and the efforts for performing experiments.
{"title":"FEM-ANN Sequential Modelling of Laser Transmission Welding for Prediction of Weld Pool Dimensions","authors":"B. Acherjee","doi":"10.4018/978-1-5225-6161-3.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH012","url":null,"abstract":"In this chapter, a sequential modeling approach has been applied for modeling of laser transmission welding process using finite element method (FEM) and artificial neural network (ANN) technique to predict the weld pool dimensions in a shorter time frame. The scripting language, APDL (ANSYS® Parametric Design Language), is used to develop the three-dimensional FE model. During preprocessing, all the major physical phenomena of laser transmission welding process are incorporated into the model physics. Based on the temperature field predicted by the model, the weld pool dimensions (i.e., weld width and weld penetration depth) are calculated. The weld dimensions predicted by the developed FE model are further used for training a neural network model. It is found from the results of test data sets that the developed ANN model can predict the outputs with significant accuracy and takes less prediction time, which in turn saves time, cost, and the efforts for performing experiments.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117110918","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH011
A. K. Parida
Super alloys have been used widely in all sectors (e.g., automobile, aerospace, biomedical, etc.) for their properties like high hardness, high wear, and corrosion resistance. A central challenge is the significantly higher temperature and pressure on the cutting tool, hence rapid tool wear and bad surface finish. In the present study, a FEM analysis has been developed to calculate the effect of preheating temperature on the surface of the workpiece on tool wear on machining Inconel 718. Usui's tool wear model has been implemented in DEFORM software. In order to validate the results, an experimental investigation has been carried out with same cutting conditions. The evaluated results were also compared with the room temperature machining condition. It was observed that the heating temperature increased the tool life by reducing tool wear, tool temperature compared to room temperature machining condition. The predicted tool wear, tool temperature, and chip morphology have been compared with the experimental results and good correlation was found.
{"title":"Finite Element Analysis of Tool Wear in Hot Machining Process","authors":"A. K. Parida","doi":"10.4018/978-1-5225-6161-3.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH011","url":null,"abstract":"Super alloys have been used widely in all sectors (e.g., automobile, aerospace, biomedical, etc.) for their properties like high hardness, high wear, and corrosion resistance. A central challenge is the significantly higher temperature and pressure on the cutting tool, hence rapid tool wear and bad surface finish. In the present study, a FEM analysis has been developed to calculate the effect of preheating temperature on the surface of the workpiece on tool wear on machining Inconel 718. Usui's tool wear model has been implemented in DEFORM software. In order to validate the results, an experimental investigation has been carried out with same cutting conditions. The evaluated results were also compared with the room temperature machining condition. It was observed that the heating temperature increased the tool life by reducing tool wear, tool temperature compared to room temperature machining condition. The predicted tool wear, tool temperature, and chip morphology have been compared with the experimental results and good correlation was found.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121838759","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH008
D. Zindani, Kaushik Kumar
One of the recently developing fields is that of non-traditional machining of particle reinforced metal matrix composites. The complexity associated with traditional machining of particle reinforced metal matrix composite is very high, and therefore, the researchers have begun to show more focus towards non-traditional machining. In the present work, the investigation has been carried out for non-traditional machining such as laser beam machining, electro-chemical machining, abrasive water jet machining, and electro-chemical discharge. Material removal rate, surface finish, and the mechanism of machining has been studied for each of the aforementioned processes. The main material removal mechanisms as has been identified are melting, mechanical erosion, vaporization, and chemical dissolution. The investigation reveals that the major reasons for the damage of the machined surface are the presence of reinforcement particles and thermal degradation.
{"title":"An Investigation Into Non-Conventional Machining of Metal Matrix Composites","authors":"D. Zindani, Kaushik Kumar","doi":"10.4018/978-1-5225-6161-3.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH008","url":null,"abstract":"One of the recently developing fields is that of non-traditional machining of particle reinforced metal matrix composites. The complexity associated with traditional machining of particle reinforced metal matrix composite is very high, and therefore, the researchers have begun to show more focus towards non-traditional machining. In the present work, the investigation has been carried out for non-traditional machining such as laser beam machining, electro-chemical machining, abrasive water jet machining, and electro-chemical discharge. Material removal rate, surface finish, and the mechanism of machining has been studied for each of the aforementioned processes. The main material removal mechanisms as has been identified are melting, mechanical erosion, vaporization, and chemical dissolution. The investigation reveals that the major reasons for the damage of the machined surface are the presence of reinforcement particles and thermal degradation.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127916068","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH003
S. Tripathy, D. Tripathy
The present chapter deals with the investigations on the effect of process parameters like powder concentration (Cp), peak current (Ip), pulse-on-time (Ton), duty cycle (DC), and gap voltage (Vg) on output responses like material removal rate (MRR), tool wear rate (TWR), electrode wear ratio (EWR), surface roughness (SR), recast layer thickness (RLT), and micro-hardness (HVN) for PMEDM of H-11 hot work tool steel. Multi-objective optimization using grey relational analysis (GRA) has been implemented to identify the optimum set of input parameters to achieve maximum MRR and HVN with minimum TWR, EWR, SR, and RLT at the same time. Predicted results on verification with confirmation tests improve the preference values by 0.09468 with GRA. The recommended settings of process parameters is found to be Cp=6g/l, Ip=3Amp, Ton=100µs, DC=70%, and Vg=30V from GRA. The microstructures were examined with scanning electron microscope (SEM) to find the presence of surface deformities and identify alterations on the surface in comparison to the base material.
{"title":"Optimization of Process Parameters for Silicon Carbide Powder Mixed EDM","authors":"S. Tripathy, D. Tripathy","doi":"10.4018/978-1-5225-6161-3.CH003","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH003","url":null,"abstract":"The present chapter deals with the investigations on the effect of process parameters like powder concentration (Cp), peak current (Ip), pulse-on-time (Ton), duty cycle (DC), and gap voltage (Vg) on output responses like material removal rate (MRR), tool wear rate (TWR), electrode wear ratio (EWR), surface roughness (SR), recast layer thickness (RLT), and micro-hardness (HVN) for PMEDM of H-11 hot work tool steel. Multi-objective optimization using grey relational analysis (GRA) has been implemented to identify the optimum set of input parameters to achieve maximum MRR and HVN with minimum TWR, EWR, SR, and RLT at the same time. Predicted results on verification with confirmation tests improve the preference values by 0.09468 with GRA. The recommended settings of process parameters is found to be Cp=6g/l, Ip=3Amp, Ton=100µs, DC=70%, and Vg=30V from GRA. The microstructures were examined with scanning electron microscope (SEM) to find the presence of surface deformities and identify alterations on the surface in comparison to the base material.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122740448","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH007
M. P. Satpathy, B. C. Routara
Ultrasonic machining (USM) is one of the non-conventional techniques for machining of hard and brittle materials like glass, ceramics, and ceramic matrix composites. The objective of the study includes the investigation of material removal rate (MRR), hole oversize (HOS), and circularity of holes (COH) during USM of soda lime glass and finding out the optimal parametric condition by an evolutionary algorithm. Taguchi philosophy was employed to carry out experiments using the process parameters such as power rating, abrasive slurry concentration, and static load. A novel optimization algorithm called imperialist competitive algorithm (ICA) was used to obtain maximum MRR and minimum HOS and COH. This algorithm is inspired by the imperialistic competition and has several advantages over other evolutionary algorithms like its simplicity, less computational time, and accuracy in predicting the results. The Technique for order of preference by similarity to ideal solution (TOPSIS) is utilized to convert these multiple performance characteristics to a single response. Moreover, the prediction outcomes of this TOPSIS integrated ICA methodology demonstrates excellent conformity with the experimental values and can be applied to solve complex problems.
{"title":"Modeling and Optimization of Ultrasonic Machining Process Using a Novel Evolutionary Algorithm","authors":"M. P. Satpathy, B. C. Routara","doi":"10.4018/978-1-5225-6161-3.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH007","url":null,"abstract":"Ultrasonic machining (USM) is one of the non-conventional techniques for machining of hard and brittle materials like glass, ceramics, and ceramic matrix composites. The objective of the study includes the investigation of material removal rate (MRR), hole oversize (HOS), and circularity of holes (COH) during USM of soda lime glass and finding out the optimal parametric condition by an evolutionary algorithm. Taguchi philosophy was employed to carry out experiments using the process parameters such as power rating, abrasive slurry concentration, and static load. A novel optimization algorithm called imperialist competitive algorithm (ICA) was used to obtain maximum MRR and minimum HOS and COH. This algorithm is inspired by the imperialistic competition and has several advantages over other evolutionary algorithms like its simplicity, less computational time, and accuracy in predicting the results. The Technique for order of preference by similarity to ideal solution (TOPSIS) is utilized to convert these multiple performance characteristics to a single response. Moreover, the prediction outcomes of this TOPSIS integrated ICA methodology demonstrates excellent conformity with the experimental values and can be applied to solve complex problems.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132743258","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH004
A. Sahu, S. Mahapatra
In this chapter, the EDM process is performed by taking titanium alloy as work piece and AlSiMg prepared by selective laser sintering (SLS) process as tool electrode along with copper and graphite. The EDM is performed by varying different process parameters like voltage (V), discharge current (Ip), duty cycle (τ), and pulse-on-time (Ton). The surface roughness parameters like Ra, Rt, and Rz are measured by the use of surface roughness measurement machine. To reduce the number of experiments, design of experiment (DOE) approach like Taguchi's L27 orthogonal array has been used. The surface properties of the EDM specimen are optimized by desirability function approach, TOPSIS and VIKOR method, and the best parametric setting is reported for the EDM process. All the optimization techniques convergence to the same optimal parametric setting. The type of tool is the most significant parameter followed by discharge current and voltage. Better surface finish of EDM specimen is produced with lower level of parametric setting along with the use of AlSiMg RP electrode during EDM.
{"title":"Optimization of Surface Roughness Parameters by Different Multi-Response Optimization Techniques During Electro-Discharge Machining of Titanium Alloy","authors":"A. Sahu, S. Mahapatra","doi":"10.4018/978-1-5225-6161-3.CH004","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH004","url":null,"abstract":"In this chapter, the EDM process is performed by taking titanium alloy as work piece and AlSiMg prepared by selective laser sintering (SLS) process as tool electrode along with copper and graphite. The EDM is performed by varying different process parameters like voltage (V), discharge current (Ip), duty cycle (τ), and pulse-on-time (Ton). The surface roughness parameters like Ra, Rt, and Rz are measured by the use of surface roughness measurement machine. To reduce the number of experiments, design of experiment (DOE) approach like Taguchi's L27 orthogonal array has been used. The surface properties of the EDM specimen are optimized by desirability function approach, TOPSIS and VIKOR method, and the best parametric setting is reported for the EDM process. All the optimization techniques convergence to the same optimal parametric setting. The type of tool is the most significant parameter followed by discharge current and voltage. Better surface finish of EDM specimen is produced with lower level of parametric setting along with the use of AlSiMg RP electrode during EDM.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134531090","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 : 1900-01-01DOI: 10.4018/978-1-5225-6161-3.CH010
N. Yuvaraj, M. Kumar
The chapter reports on the investigation of cryogenic-assisted abrasive water jet (CAAWJ) machining of AISI D2 steel with varying the jet impact angles and abrasive mesh sizes. The performance measurement is considered in this study such as depth of penetration and taper ratio. Also, the surface integrity characteristics are considered in the present study such as abrasive contamination, surface topography, XRD peaks, residual stress, and micro hardness. The CAAWJ machining process improves the performance measurement such as higher depth of penetration and lower taper ratio for the machining of D2 steel. Also, the CAAWJ cut surface consists of better surface integrity features over the AWJ cut surface. The phase transformation effect of target material under cryogenic cooling helps to turn the mode of the material removal mechanism from ductile to brittle erosion process and yield a better performance. The results also indicate that the oblique jet impact angles have been produced better performance characteristics than the jet impact angle of 90o at room temperature.
{"title":"Performance and Surface Evaluation Characteristics on Cryogenic-Assisted Abrasive Water Jet Machining of AISI D2 Steel","authors":"N. Yuvaraj, M. Kumar","doi":"10.4018/978-1-5225-6161-3.CH010","DOIUrl":"https://doi.org/10.4018/978-1-5225-6161-3.CH010","url":null,"abstract":"The chapter reports on the investigation of cryogenic-assisted abrasive water jet (CAAWJ) machining of AISI D2 steel with varying the jet impact angles and abrasive mesh sizes. The performance measurement is considered in this study such as depth of penetration and taper ratio. Also, the surface integrity characteristics are considered in the present study such as abrasive contamination, surface topography, XRD peaks, residual stress, and micro hardness. The CAAWJ machining process improves the performance measurement such as higher depth of penetration and lower taper ratio for the machining of D2 steel. Also, the CAAWJ cut surface consists of better surface integrity features over the AWJ cut surface. The phase transformation effect of target material under cryogenic cooling helps to turn the mode of the material removal mechanism from ductile to brittle erosion process and yield a better performance. The results also indicate that the oblique jet impact angles have been produced better performance characteristics than the jet impact angle of 90o at room temperature.","PeriodicalId":443385,"journal":{"name":"Non-Conventional Machining in Modern Manufacturing Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122195591","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：