Optimization of Machining Parameters

In this paper, a method for severity fault diagnosis of ball bearings is presented. The method is based on wavelet packet transform (WPT), statistical parameters, principal component analysis (PCA) and support vector machine (SVM). The key to bearing faults diagnosis is features extraction.

10p tohitohi 19-05-2020 25 1   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 49 2   Download

(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.

6p xuanphuongdhts 27-03-2017 37 2   Download

(BQ) From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey relational analysis.

8p xuanphuongdhts 27-03-2017 70 3   Download

(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.

9p xuanphuongdhts 27-03-2017 57 2   Download

(BQ) This paper aims to develop a combination of Taguchi and fuzzy TOPSIS methods to solve multi-response parameter optimization problems in green manufacturing.

5p xuanphuongdhts 27-03-2017 56 3   Download

(BQ) Electrical discharge machining (EDM) is inherently a stochastic process. Predicting the output of such a process with reasonable accuracy is rather difficult.

19p xuanphuongdhts 27-03-2017 46 2   Download

(BQ)This paper proposes an experimental investigation and optimization of the various machining parameters for the electrical discharge machining (EDM) processes on Inconel 718 super alloy using a multi objective particle swarm optimization (MOPSO) algorithm.

7p xuanphuongdhts 27-03-2017 44 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 52 2   Download

(BQ) The present work deals with the comparison of the MRR for EN19 and EN41 material in a die sinking EDM machine. The various input factors like Pulse ON time, Pulse OFF time, Discharge current and voltage were considered as the input processing parameters, while the MRR is considered as the output. Optimization using Taguchi method was performed to predict the best combination of inputs towards maximum output.

7p xuanphuongdhts 27-03-2017 38 2   Download

(BQ) The article presents an idea about the effect of the various input process parameters like Pulse ON time, Pulse OFF time, Discharge Current and Voltage over the Surface Roughness for an EN41 material. Here, 5 different output parameters concerned with surface roughness like Ra, Rq, Rsk, Rku and Rsm are taken and optimized accordingly, using the Grey-Taguchi method.

8p xuanphuongdhts 27-03-2017 64 4   Download

(BQ) Electrical Discharge Machining (EDM) is a non-traditional machining process which is more efficient than traditional maching process due to ease of machining of difficult-to-machine materials with complex shapes. EDM is used for machining of toughened and high strength conductive materials which is hard enough to cut by traditional processes.

8p xuanphuongdhts 27-03-2017 42 2   Download

(BQ) Electrical Discharge Machining (EDM) is a non-traditional machining process which has the ability to machine hard, difficult to machine materials and the parts with complex internal shapes by using precisely controlled sparks that occurs between an electrode and a work piece in the presence of a dielectric fluid.

9p xuanphuongdhts 27-03-2017 71 3   Download

(BQ) The newly engineered metal matrix composite (MMC) of aluminium 7075 reinforced with 10 wt% of B4C particles were prepared by stir casting method. Experiments were carried out by adopting face centered central composite design of response surface methodology.

6p xuanphuongdhts 27-03-2017 40 3   Download

(BQ) Electrical Discharge Machining (EDM) is a non-traditional, thermo electrical process, which erodes material from the work piece by a series of discrete sparks between the work and tool electrode immersed in a liquid dielectric medium.

7p xuanphuongdhts 27-03-2017 47 3   Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Radiation Oncology cung cấp cho các bạn kiến thức về ngành y đề tài: " Comparison of direct machine parameter optimization versus fluence optimization with sequential sequencing in IMRT of hypopharyngeal carcinoma...

7p toshiba10 15-10-2011 48 2   Download