A Study on Optimum Condition of Centerless Grinding Machine for Ferrule Using Taguchi Method and Response Surface Method

2007 ◽  
Vol 329 ◽  
pp. 9-14 ◽  
Author(s):  
Eun Sang Lee ◽  
Jung Hyung Lee
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Response Surface ◽  
Response Surface Method ◽  
Process Parameters ◽  
Surface Model ◽  
Surface Method ◽  
Grinding Parameters ◽  
Centerless Grinding ◽  
Grinding Machine

The surface roughness in centerless grinding is mainly affected by the many process parameters. For decreasing the surface roughness, the control of grinding parameters is very important. This paper deal with the analysis of the process parameters such as height of centers, tilting angle of the regulating wheel, speed of the regulating wheel, developed based on Taguchi method and response surface method. The effect of grinding parameters on the surface roughness was evaluated the utilization of the response surface model was evaluated with constraints of the surface roughness.

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 Influence of process parameters on surface roughness and forming time of Al-1100 sheet in incremental sheet metal forming

2019 ◽  
Vol 13 (2) ◽  
pp. 4911-4927
Author(s):  
Swagatika Mohanty ◽  
Srinivasa Prakash Regalla ◽  
Yendluri Venkata Daseswara Rao
Keyword(s):  
Surface Roughness ◽  
Response Surface ◽  
Sheet Metal ◽  
Process Parameters ◽  
Sheet Metal Forming ◽  
Feed Rate ◽  
Metal Forming ◽  
Wall Angle ◽  
Surface Method ◽  
Incremental Sheet Metal Forming

Product quality and production time are critical constraints in sheet metal forming. These are normally measured in terms of surface roughness and forming time, respectively. Incremental sheet metal forming is considered as most suitable for small batch production specifically because it is a die-less manufacturing process and needs only a simple generic fixture. The surface roughness and forming time depend on several process parameters, among which the wall angle, step depth, feed rate, sheet thickness, and spindle speed have a greater impact on forming time and surface roughness. In the present work, the effect of step depth, feed rate and wall angle on the surface roughness and forming time have been investigated for constant 1.2 mm thick Al-1100 sheet and at a constant spindle speed of 1300 rpm. Since the variable effects of these parameters necessitate multi-objective optimization, the Taguchi L9 orthogonal array has been used to plan the experiments and the significance of parameters and their interactions have been determined using analysis of variance (ANOVA) technique. The optimum response has been brought out using response surfaces. Finally, the findings of response surface method have been validated by conducting additional experiments at the intermediate values of the parameters and these results were found to be in agreement with the predictions of Taguchi method and response surface method.

Optimization of a nanoparticle ball milling process parameters using the response surface method

2018 ◽  
Vol 29 (9) ◽  
pp. 2129-2139 ◽  
Author(s):  
Srdjan Petrović ◽  
Ljiljana Rožić ◽  
Vesna Jović ◽  
Stevan Stojadinović ◽  
Boško Grbić ◽  
...  
Keyword(s):  
Response Surface ◽  
Ball Milling ◽  
Response Surface Method ◽  
Process Parameters ◽  
Milling Process ◽  
Ball Milling Process ◽  
Surface Method
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