Material Removal Rate

In electro-discharge machining (EDM) with mixing powder, it is called powder mixed electro-discharge machining (PMEDM), then machining performances- i.e. material removal rate (MRR) and tool wear rate (TWR) has great significance in evaluating the effectiveness and machining accuracy of the machining method.

14p vibecca 01-10-2024 2 1   Download

Bài báo này trình bày việc tối ưu hóa năng suất bóc tách vật liệu MRR (Material removal rate) bằng phương pháp Taguchi với 4 thông số công nghệ đầu vào là: cường độ dòng điện (I); điện áp khe hở phóng điện (U); thời gian phóng điện (Ton); thời gian ngừng phóng điện (Toff), một thông số đầu ra là năng suất bóc tách vật liệu (MRR)

5p parasite 07-06-2021 41 2   Download

The aim of research: Determination of greywater characteristics from some buildings in Hanoi city; Explaination of the principle of removing the main pollutants out of greywater by using laterite with multi soil layering engineering; Determination of decomposition rate coefficients of BOD5, COD and NH4 + -N. The number of laterite layer is calculated based on these coefficients; Successful greywater treatment from building by using laterite with Multi Soil Layering engineering and the treated effluent meet up the National Regulations

27p dolphintaletale 23-04-2021 20 9   Download

(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).

11p xuanphuongdhts 27-03-2017 48 2   Download

(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 developed empirical models. Optimization results have been used for identifying the machining conditions.

10p xuanphuongdhts 27-03-2017 41 2   Download

(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

15p xuanphuongdhts 27-03-2017 41 2   Download

(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.

8p xuanphuongdhts 27-03-2017 52 2   Download

(BQ) The aim of this research is to show the influence of the hardness of the alloy steel on the material removal rate and on the workpiece surface roughness.

5p xuanphuongdhts 27-03-2017 22 2   Download

(BQ) This study was made only for the finish stages and has been carried out on the influence of five design factors: intensity supplied by the generator of the EDM machine (I), pulse time (ti), duty cycle (η), open-circuit voltage (U) and dielectric flushing pressure (P), over the two previously mentioned response variables. This has been done by means of the technique of design of experiments (DOE), which allows us to carry out the above-mentioned analysis performing a relatively small number of experiments.

8p xuanphuongdhts 27-03-2017 55 2   Download

(BQ) The adequate selection of manufacturing conditions is one of the most important aspects to take into consideration in the die-sinking electrical discharge machining (EDM) of conductive ceramics, as these conditions are the ones that are to determine such important characteristics as: surface roughness, electrode wear (EW) and material removal rate, among others. In this work, a study was carried out on the influence of the factors of intensity (I), pulse time (ti) and duty cycle (η) over the listed technological characteristics.

7p xuanphuongdhts 27-03-2017 38 2   Download

(BQ) The objective of this paper is to find out the combination of process parameters for optimum surface roughness and material removal rate (MRR) in electro discharge machining (EDM) of EN31 tool steel using artificial bee colony (ABC) algorithm.

11p xuanphuongdhts 27-03-2017 48 2   Download

(BQ) In the present study an analysis has been done to evaluate the electrode wear along the cross-section of an electrode compared to the same along its length during EDM of aluminum and mild steel using copper and brass electrodes.

6p xuanphuongdhts 27-03-2017 47 2   Download