Effect of optimum process parameters in rotational-magnetorheological poppet valve polishing

2021 ◽  
pp. 1-14
Author(s):  
Manjesh Kumar ◽  
Manas Das
Keyword(s):  
Process Parameters ◽  
Optimum Process ◽  
Poppet Valve

Application of Taguchi Method for Determining Optimum Process Parameters of PMEDM with SiC Powder Suspended in Dielectric

2013 ◽  
Vol 1 (3) ◽  
pp. 37-42
Author(s):  
Deepak Rajendra Unune ◽  
◽  
Amit Aherwar ◽  
B.P. Pathri ◽  
Jai Kishan ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Optimum Process

Optimization of Process Parameters for Production of Pectinase using Bacillus Subtilis MF447840.1

2019 ◽  
Vol 13 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Ram Balak Mahto ◽  
Mukesh Yadav ◽  
Soumya Sasmal ◽  
Biswnath Bhunia
Keyword(s):  
Bacillus Subtilis ◽  
Process Parameters ◽  
Volume Ratio ◽  
Optimum Process ◽  
Agitation Rate ◽  
Fermentation Condition ◽  
Optimization Of Process Parameters ◽  
Food And Beverage ◽  
Pectinase Production ◽  
Sterile Product

Background: Pectinase enzyme has immense industrial prospects in the food and beverage industries. </P><P> Objective: In our investigation, we find out the optimum process parameters suitable for better pectinase generation by Bacillus subtilis MF447840.1 using submerged fermentation. </P><P> Method: 2% (OD600 nm = 0.2) of pure Bacillus subtilis MF447840.1 bacterial culture was inoculated in sterile product production media. The production media components used for this study were 1 g/l of pectin, 2 g/l of (NH4)2SO4, 1 g/l of NaCl, 0.25 g/l of K2HPO4, 0.25 g/l of KH2PO4 and 1 g/l of MgSO4 for pectinase generation. We reviewed all recent patents on pectinase production and utilization. The various process parameters were observed by changing one variable time method. </P><P> Results: The optimum fermentation condition of different parameters was noticed to be 5% inoculums, 25% volume ratio, temperature (37°C), pH (7.4) and agitation rate (120 rpm) following 4 days incubation. </P><P> Conclusion: Maximum pectinase generation was noticed as 345 ± 12.35 U following 4 days incubation.

Prediction of optimum process parameters in turning of Ti6al4v alloy under various cooling strategies using soft computing tool

2021 ◽  
Author(s):  
M. Venkata Ramana ◽  
G. Krishna Mohan Rao ◽  
D. Hanumantha Rao ◽  
BVR Ravi Kumar
Keyword(s):  
Soft Computing ◽  
Process Parameters ◽  
Ti6al4v Alloy ◽  
Optimum Process ◽  
Cooling Strategies

scholarly journals Optimizing Laser Powder Bed Fusion Parameters for IN-738LC by Response Surface Method

Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4879
Author(s):  
Mireia Vilanova ◽  
Rubén Escribano-García ◽  
Teresa Guraya ◽  
Maria San Sebastian
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Process Parameters ◽  
Crack Density ◽  
Processing Parameters ◽  
Optimum Process ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Surface Method

A method to find the optimum process parameters for manufacturing nickel-based superalloy Inconel 738LC by laser powder bed fusion (LPBF) technology is presented. This material is known to form cracks during its processing by LPBF technology; thus, process parameters have to be optimized to get a high quality product. In this work, the objective of the optimization was to obtain samples with fewer pores and cracks. A design of experiments (DoE) technique was implemented to define the reduced set of samples. Each sample was manufactured by LPBF with a specific combination of laser power, laser scan speed, hatch distance and scan strategy parameters. Using the porosity and crack density results obtained from the DoE samples, quadratic models were fitted, which allowed identifying the optimal working point by applying the response surface method (RSM). Finally, five samples with the predicted optimal processing parameters were fabricated. The examination of these samples showed that it was possible to manufacture IN738LC samples free of cracks and with a porosity percentage below 0.1%. Therefore, it was demonstrated that RSM is suitable for obtaining optimum process parameters for IN738LC alloy manufacturing by LPBF technology.

scholarly journals Analysis of the Process Parameter Influence in Laser Cladding of 316L Stainless Steel

2018 ◽  
Vol 2 (3) ◽  
pp. 55 ◽  
Author(s):  
Piera Alvarez ◽  
M. Montealegre ◽  
Jose Pulido-Jiménez ◽  
Jon Arrizubieta
Keyword(s):  
Stainless Steel ◽  
Laser Cladding ◽  
Process Parameters ◽  
Cross Sections ◽  
316L Stainless Steel ◽  
Deposition Process ◽  
Process Parameter ◽  
Optimum Process ◽  
Processing Times ◽  
Manufacturing Technologies

Laser Cladding is one of the leading processes within Additive Manufacturing technologies, which has concentrated a considerable amount of effort on its development. In regard to the latter, the current study aims to summarize the influence of the most relevant process parameters in the laser cladding processing of single and compound volumes (solid forms) made from AISI 316L stainless steel powders and using a coaxial nozzle for their deposition. Process speed, applied laser power and powder flow are considered to be the main variables affecting the laser cladding in single clads, whereas overlap percentage and overlapping strategy also become relevant when dealing with multiple clads. By setting appropriate values for each process parameter, the main goal of this paper is to develop a processing window in which a good metallurgical bond between the delivered powder and the substrate is obtained, trying simultaneously to maintain processing times at their lowest value possible. Conventional metallography techniques were performed on the cross sections of the laser tracks to measure the effective dimensions of clads, height and width, as well as the resulting dilution value. Besides the influence of the overlap between contiguous clads and layers, physical defects such as porosity and cracks were also evaluated. Optimum process parameters to maximize productivity were defined as 13 mm/s, 2500 W, 30% of overlap and a 25 g/min powder feed rate.

An Investigation into Surface Roughness of Burnished Hypereutectic Al-Si Alloy Based on the Taguchi Techniques

2004 ◽  
Vol 471-472 ◽  
pp. 790-794 ◽  
Author(s):  
Li Fa Han ◽  
Wei Xia ◽  
Yuan Yuan Li ◽  
Wei Ping Chen
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Optimum Process ◽  
Light Weight ◽  
Resistant Material ◽  
Influence Of Process Parameters ◽  
Small Surface ◽  
Burnishing Process

This paper presents an investigation on the surface roughness of burnished hypereutectic Al-Si alloy ¾ a widely used light-weight and wear resistant material in automobile, electric and aircraft industries. Based on the techniques of Taguchi, an orthogonal experiment plan with the analysis of variance (ANOVA) is performed and a second-order regressive mathematical model is established. Meanwhile, the influence of process parameters on surface roughness and its mechanism are discussed. From the experiments, it is found that burnishing process is effective to decrease surface roughness of hypereutectic Al-Si alloy components, in which, all input parameters have a significant effect on the surface roughness. To achieve a small surface roughness, the optimum process parameters are recommended.

scholarly journals The Optimum Process Parameter of Dissimilar Metal AA6061 – AISI304 Continuous Drive Friction Welding

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Totok Suwanda ◽  
Rudy Soenoko ◽  
Yudy Surya Irawan ◽  
Moch. Agus Choiron
Keyword(s):  
Tensile Strength ◽  
Response Surface ◽  
Process Parameters ◽  
Friction Welding ◽  
Welding Parameters ◽  
Optimum Process ◽  
Dissimilar Metals ◽  
Maximum Tensile Strength ◽  
Friction Pressure ◽  
Welding Processes

This article explains the use of the response surface method to produce the optimum tensile strength for the joining of dissimilar metals with the continuous drive friction welding method. The joining of dissimilar metals is one of the biggest challenges in providing industrial applications. Continuous drive friction welding has been extensively used as one of the important solid-state welding processes. In this study, the optimization of the friction welding process parameters is established to achieve the maximum tensile strength in AA6061 and AISI304 dissimilar joints via the response surface methodology. The effect of continuous drive friction welding parameters, which are friction pressure, friction time, upset pressure, and upset time, are investigated using response surface analysis. The design matrix factors are set as 27 experiments based on Box-Behnken. The 3D surface and the contour is plotted for this model to accomplish the tensile strength optimization. The optimization model of the tensile strength was verified by conducting experiments on the optimum values of the parameters based on the experimental data results. It can be denoted that the optimum process parameters settings were friction pressure = 25 MPa, friction time = 6 seconds, upset pressure = 140 MPa, and upset time = 8 seconds, which would result in a maximum tensile strength of 228.57 MPa.

Optimization Design of Cold Upsetting Process in Bearings Steel Ball Based on DEFROM

2012 ◽  
Vol 538-541 ◽  
pp. 2759-2766
Author(s):  
Cai An Fu ◽  
Meng Tong ◽  
Xian Wang
Keyword(s):  
Process Parameters ◽  
Optimization Design ◽  
Simulation Analysis ◽  
Orthogonal Test ◽  
Process Time ◽  
Optimum Process ◽  
Ratio Increase ◽  
Cold Upsetting ◽  
Utilization Ratio ◽  
Material Utilization

Abstract.Now the largeness of circumferential belt and 2 poles in ball billet after cold upsetting process and the consequently low material utilization ratio increase the following process time and cause a great waste. In order to obtain low allowance of ball billet, high material utilization ratio and productivity, through the research of the cold upsetting process, evaluating indicator including plumpness, roundness, cold upsetting force and volume was established, orthogonal test was designed. By the Deform simulation analysis the optimum process parameters was obtained. The results show that the optimized cold upsetting force is reduced by 35%. So the optimized process parameters has a great application value.

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