Tài liệu Thư viện số
Danh mục TaiLieu.VN
Kết quả 241-252 trong khoảng 405
(BQ) The present work is aimed at optimizing the surface roughness of die sinking electric discharge machining (EDM) by considering the simultaneous affect of various input parameters.
9 p vlute 28/04/2017 595 1
Intelligent process modeling and optimization of die-sinking electric discharge machining
(BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.
13 p vlute 28/04/2017 502 1
(BQ) Surface integrity and dimensional accuracy remain critical concern in Electrical Discharge Machining (EDM). The current research work aims at investigating the influence of various EDM process parameters like pulse current (Ip), pulse-on time (Ton), tool work time (Tw) and tool lift time (Tup) on various aspects of surface integrity like white layer thickness (WLT), surface crack density (SCD) and surface roughness (SR). The dimensional...
13 p vlute 28/04/2017 673 1
Multi-attribute decision making for green electrical discharge machining
(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing.
5 p vlute 28/04/2017 515 1
(BQ) In the study, temperature measurements have been made for Ti–6Al–4V workpieces with various duty factors to clarify the essential causes of difficulty in machining titanium alloys and observe the optimal duty factor in terms of productivity and quality.
7 p vlute 28/04/2017 506 1
(BQ) The paper describes the application of the fuzzy logic analysis coupled with Taguchi methods to optimise the precision and accuracy of the high-speed electrical discharge machining (EDM) process. A fuzzy logic system is used to investigate relationships between the machining precision and accuracy for determining the efficiency of each parameter design of the Taguchi dynamic experiments.
10 p vlute 28/04/2017 500 2
(BQ) The study sheds light on the powerful learning capability of ANFIS models and its superiority over the conventional polynomial models in terms of modelling complex non-linear machining processes
15 p vlute 28/04/2017 529 1
(BQ) In this paper, attempts have been made to model and optimize process parameters in Electro-Discharge Machining (EDM) of tungsten carbide-cobalt composite (Iso grade: K10) using cylindrical copper tool electrodes in planing machining mode based on statistical techniques.
6 p vlute 28/04/2017 508 1
0 The Optimization of the Electro-Discharge Machining Process Using Response
(BQ) In this paper, working current, working voltage, oil pressure, spark gap Pulse On Time and Pulse Off Time on Material Removal Rate (MRR) and Surface Finish (Ra) has been studied. Empirical models for MRR and Ra have been developed by conducting a designed experiment based on the Grey Relational Analysis. Genetic Algorithm (GA) based multi-objective optimization for maximization of MRR and minimization of Ra has been done by using the...
10 p vlute 28/04/2017 506 1
A review on influence of electrical process parameters in EDM process
(BQ) The present study discusses about having an overview of the EDM process, modeling of process parameters, and influence of process parameters such as input electrical variables, pulse shape, and discharge energy on performance measures such as material removal rate, surface roughness and electrode wear rate.
8 p vlute 28/04/2017 339 1
Optimization of Machining Parameters in EDM process using Cast and Sintered Copper Electrodes
(BQ) In this research work two different materials have been used as work pieces. These EN8 and D3 steel materials have been machined in an Electrical discharge machine which has wide application in Industry fields. The important process parameters that have been selected are peak current, pulse on time, die electric pressure and tool diameter. The outputs responses are material removal rate (MRR), tool wear rate (TWR) and surface roughness (SR).
11 p vlute 28/04/2017 374 1
Stainless steel high pressure fittings product catalogue
Average of Socket Wall Thickness around periphery shall be no less than listed values. The minimum values are permitted in localized areas. Upper and lower values for each size are the respective maximum and minimum dimensions.
26 p vlute 30/07/2016 380 1