Influence of the main technological parameters and material properties of the workpiece on the geometrical accuracy of the machined surface at wedm

Geometrical accuracy is currently one of the important parameters regarding the machined surfaces of components used in modern technical equipment. Even though the WEDM technology belongs to the precise final machining technologies, the most demanding requirements for the geometrical accuracy of the machined surface are not always met. These geometrical deviations consequently manifest themselves not only in the assembly of particular parts of the final product but also in their operation. In addition, errors of the geometrical accuracy of the machined surface also have negative effect on the serviceability of the finished parts and their overall service life. Even though these shortcomings are only minimally reflected in planar cuts, the production of circular profiles is a problem in particular. The important factors causing this poor quality are the technological parameters in combination with the specific physical and mechanical properties of the workpiece and wire electrode. Experimental research was therefore focused on identifying the influence of selected technological parameters and material properties of the workpiece on the size of geometrical deviations of the machined surface that occur at WEDM using CuZn37 wire electrode. In general, it is also a serious problem to maintain the prescribed geometrical tolerance of the machined surface in a narrow tolerance field. By exceeding it, the product becomes unsatisfactory. However, the problem is also achieved quality, which significantly exceeds the expected values. This essentially reduces productivity and worsens the economic efficiency of production. For this reason, it is ideal to achieve the exact required quality of the machined surface in terms of geometrical accuracy. Therefore, an algorithm of simulation software was proposed, which includes empirically determined mathematical models, based on which the software can predict the necessary setting of technological parameters, derived from the dimensional and material properties of the workpiece and wire. The mentioned solution thus will bring the geometrical accuracy of the production of circular holes in a narrow tolerance field to the customer’s requirements with a significant increase of the economic efficiency of production.

[1]  Mohammad Nazrul Islam,et al.  An Investigation into Dimensional Accuracy Achievable in Wire-cut Electrical Discharge Machining , 2010 .

[2]  Y. S. Tarng,et al.  Determination of optimal cutting parameters in wire electrical discharge machining , 1995 .

[3]  Naveed Ahmed,et al.  Complex taper profile machining of WC-Co composite using wire electric discharge process: analysis of geometrical accuracy, cutting rate, and surface quality , 2019, The International Journal of Advanced Manufacturing Technology.

[4]  Bijoy Bhattacharyya,et al.  A novel method of determination of wire lag for enhanced profile accuracy in WEDM , 2011 .

[5]  J. A. Sánchez,et al.  Experimental and Numerical Study of Crater Volume in Wire Electrical Discharge Machining , 2020, Materials.

[6]  Jose Mathew,et al.  Investigations of the effect of non-uniform insert pitch on vibration during face milling , 1995 .

[7]  Aitzol Lamikiz,et al.  On the influence of cutting speed limitation on the accuracy of wire-EDM corner-cutting , 2007 .

[8]  Itziar Cabanes,et al.  High-accuracy wire electrical discharge machining using artificial neural networks and optimization techniques , 2018 .

[9]  Bijoy Bhattacharyya,et al.  Modeling and optimization of wire electrical discharge machining of γ-TiAl in trim cutting operation , 2008 .

[10]  S. Grigoriev,et al.  Electrical discharge machining of ceramic nanocomposites: sublimation phenomena and adaptive control , 2019, Heliyon.

[11]  Kamlakar P Rajurkar,et al.  Analysis and optimization of parameter combinations in wire electrical discharge machining , 1991 .

[12]  Arun Kumar Rouniyar,et al.  Fabrication and experimental investigation of magnetic field assisted powder mixed electrical discharge machining on machining of aluminum 6061 alloy , 2019, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

[13]  E. Evin,et al.  Optimization of Electro-Discharge Texturing Parameters for Steel Sheets’ Finishing Rollers , 2020, Materials.

[14]  Jose Antonio Sanchez,et al.  A computer-aided system for the optimization of the accuracy of the wire electro-discharge machining process , 2004, Int. J. Comput. Integr. Manuf..

[15]  Mukandar Sekh Improvement of Profile Accuracy in WEDM—A Novel Technique , 2020 .

[16]  R. Holubek,et al.  Experimental investigation of influence electrical discharge energy on the surface layer properties after EDM , 2020, Welding Technology Review.

[17]  A. Taha,et al.  Antioxidant activity of Linalool , 2018 .

[18]  Y. S. Tarng,et al.  Optimisation of the electrical discharge machining process using a GA-based neural network , 2003 .

[19]  Asit Baran Puri,et al.  An analysis and optimisation of the geometrical inaccuracy due to wire lag phenomenon in WEDM , 2003 .

[20]  X. Zhan,et al.  Parameter optimisation of laser cladding repair for an Invar alloy mould , 2018, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture.

[21]  Jamshid Parvizian,et al.  Improving accuracy of curved corners in wire EDM successive cutting , 2015 .

[22]  Souren Mitra,et al.  Enhancing die corner accuracy through trim cut in WEDM , 2016 .

[23]  Md. Israr Equbal,et al.  An investigation on the feasibility of fused deposition modelling process in EDM electrode manufacturing , 2019, CIRP Journal of Manufacturing Science and Technology.

[24]  A. Abdullah,et al.  Analyzing wire deflection errors of WEDM process on small arced corners , 2018, Journal of Manufacturing Processes.

[26]  Zhi Chen,et al.  Attainment of high corner accuracy for thin-walled sharp-corner part by WEDM based on magnetic field-assisted method and parameter optimization , 2020 .

[28]  Mu-Tian Yan,et al.  Surface quality improvement of wire-EDM using a fine-finish power supply , 2007 .

[30]  Chana Raksiri,et al.  CNC Wire-Cut Parameter Optimized Determination of the Stair Shape Workpiece , 2010 .

[31]  A. Werner Method for enhanced accuracy in machining curvilinear profiles on wire-cut electrical discharge machines , 2016 .

[32]  Ľuboslav Straka Analysis of Wire-Cut Electrical Discharge Machined Surface , 2014 .

[33]  B. Yan,et al.  Examination of wire electrical discharge machining of Al2O3p/6061Al composites , 2005 .

[34]  Y. M. Puri,et al.  Optimized curved electrical discharge machining-based curvature channel , 2020 .

[35]  Duc-Nguyen Van,et al.  Application of Deng’s similarity-based analytic hierarchy process approach in parametric optimization of the electrical discharge machining process of SDK11 die steel , 2020 .

[36]  Erry Yulian Triblas Adesta,et al.  Dimensional accuracy in dry micro wire electrical discharge machining , 2018 .

[37]  C. L. Pérez,et al.  Analytical Modelling of Energy Density and Optimization of the EDM Machining Parameters of Inconel 600 , 2017 .

[39]  R. Świercz,et al.  Experimental Investigation of Surface Layer Properties of High Thermal Conductivity Tool Steel after Electrical Discharge Machining , 2017 .

[40]  Mu-Tian Yan,et al.  Improvement of part straightness accuracy in rough cutting of wire EDM through a mechatronic system design , 2016 .

[41]  C. Centeno,et al.  Understanding illnesses through a film festival: An observational study , 2019, Heliyon.