دانلود کتاب Metal Cutting Technologies: Progress and Current Trends

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Preface\nAbout the editor\nContents\nList of contributing authors\n1 The Principle of Minimum Strain Energy to Fracture of the Work Material and Its Application in Modern Cutting Technologies\n 1.1 Introduction\n 1.2 General structure of the proposed approach\n 1.2.1 Block 1: Definition of the metal cutting process\n 1.2.2 Block 2: Energy partition in the cutting system\n 1.2.3 Block 3: Principle of minimum strain energy to fracture of the work material\n 1.3 Realization\n 1.3.1 Assessment of the range of variation\n 1.3.2 Measurability\n 1.4 PMSEF and tool geometry\n 1.4.1 General\n 1.4.2 Rake angle and PMSEF\n 1.5 PMSEF and machinability\n References\n2 Energy Consumption Optimization in Machining Processes\n 2.1 Introduction\n 2.2 Reduction of energy consumption by machine tools\n 2.3 Modeling and optimization of energy-conscious machining processes\n 2.4 Determination of machining conditions based on minimum energy consumption\n 2.5 Investigation and modeling of machining processes using eco-efficiency criterion\n 2.6 Summary\n References\n3 Machining with High-Pressure Cooling\n 3.1 Introduction\n 3.2 Characteristics of high-pressure cooling\n 3.3 High-pressure coolant supply system and types of tooling systems\n 3.4 The benefits of the application of HPC\n 3.5 Modeling of machining with HPC\n 3.6 Conclusion\n References\n4 Effect of Machining on the Fatigue Life of Steels\n 4.1 Introduction\n 4.2 Effect of machining processes on fatigue life\n 4.3 Effect of machining conditions\n 4.4 Conclusion\n References\n5 FEM Analysis and ANN Modeling for Optimizing Machinability Indicators during Dry Longitudinal Turning of Ti–6Al–4V ELI Alloy\n 5.1 Introduction\n 5.2 Materials and methods for robust experimental parameter design\n 5.2.1 Test material and general properties\n 5.2.2 Machine tool, cutting insert type, and measuring equipment\n 5.2.3 Experimental design\n 5.2.4 Machining results and observations\n 5.3 Statistical analysis and interpretation\n 5.3.1 ANOVA for main effects, interactions, and power fitting models\n 5.4 Nonlinear regression and FEM for Fz\n 5.4.1 Nonlinear regression model for Fz\n 5.4.2 Three-dimensional Lagrangian turning FEM model for Fz\n 5.5 Nonlinear regression and ANN models for Ra\n 5.5.1 Nonlinear regression model for Ra\n 5.5.2 ANN model for Ra\n 5.5.3 ANN topology\n 5.5.4 ANN correlation\n 5.6 Conclusions\n References\n6 Double-Tool Turning\n 6.1 Introduction\n 6.2 Cutting forces and temperature in double-tool turning\n 6.2.1 Experimental results\n 6.2.2 Theoretical explanation of the experimental results\n 6.3 Surface roughness and dimensional deviation in double-tool turning\n 6.3.1 Observations on surface roughness in double-tool turning\n 6.3.2 Study of dimensional deviation in double-tool turning\n 6.4 Cutting tool wear in double-tool turning\n 6.5 Optimization of the double-tool turning process\n 6.6 Directions for future research\n 6.7 Conclusion\n References\n7 Effect of Electrical Resistivity on the Electrical Discharge Machining Process\n 7.1 Introduction\n 7.2 Theoretical modeling\n 7.2.1 Governing equation\n 7.2.2 Constitutive behavior\n 7.2.3 Thermal energy balance\n 7.2.4 Surface conditions\n 7.2.5 Characteristics of plasma channel\n 7.3 Single discharge testing methods and equipment\n 7.3.1 Design and fabrication of the testing machine\n 7.3.2 Topographical survey of the eroded craters\n 7.4 Plasma resistivity\n 7.4.1 Discharge channel\n 7.4.2 Electrical resistivity\n 7.4.3 Materials and experimental procedures\n 7.5 Results and discussion\n 7.5.1 Plasma characteristics of the spark discharge\n 7.5.2 Morphology of the eroded craters\n 7.6 Conclusions\n References\nIndex