Investigating the effect of laser cutting parameters on the cut quality of Inconel 625 using Response Surface Method (RSM)

2021 ◽  
pp. 103866
Author(s):  
Jing Wang ◽  
Zhaorui Sun ◽  
Lianwang Gu ◽  
Hamidreza Azimy
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Laser Cutting ◽  
Cutting Parameters ◽  
Inconel 625 ◽  
Surface Method ◽  
Cut Quality

Prediction Modelling of Surface Roughness for Laser Beam Cutting on Acrylic Sheets

2009 ◽  
Vol 83-86 ◽  
pp. 793-800 ◽  
Author(s):  
M.M. Noor ◽  
K. Kadirgama ◽  
M.M. Rahman ◽  
N.M. Zuki N.M. ◽  
Mohd Ruzaimi Mat Rejab ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Laser Beam ◽  
Response Surface ◽  
Response Surface Method ◽  
Laser Cutting ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Power Requirement ◽  
Box Behnken Design ◽  
Surface Method

This paper develops the predicting model on surface roughness of laser beam cutting (LBC) for acrylic sheets. Box-Behnken design based on Response surface method was used to predict the effect of laser cutting parameters including the power requirement, cutting speed and tip distance on surface roughness during the machining. Response surface method (RSM) was used to minimize the number of experiments. It can be seen that from the experimental results, the effects of the laser cutting parameters with the surface roughness were investigated. It was found that the surface roughness is significantly affected by the tip distance followed by the power requirement and cutting speed. Some defects were found in microstructure such as burning, melting and wavy surface. This simulation gain more understanding of the surface roughness distribution in laser cutting. The developed model is suitable to be used in the range of (power 90 to 95, cutting speed 700 to 1100 and tip distance 3 to 9) to predict surface roughness.

scholarly journals Optimization of the Countersinking Parameters Based on the Response Surface Method

2021 ◽  
Author(s):  
Hassen Mosbah ◽  
Slimen Attyaoui ◽  
Rachid Nasri
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Sequential Quadratic Programming ◽  
Numerical Optimization ◽  
Element Model ◽  
Poor Quality ◽  
Blank Holder ◽  
Surface Method ◽  
Good Agreement

Abstract The countersinking process is affected by many factors including the tools and the workpiece parameters. Some forming phenomena such as the knife-edge affect the quality of the countersunk hole. Up to now, many kinds of research rely mainly on the experiments which lead to poor quality and difficult control of this process. In this paper, a proposed numerical optimization of the countersinking process is developed to obtain a normalized countersunk hole. This optimisation approach is based on the response surface method (RMS), design of experiments (DOE) and the sequential quadratic programming (SQP). Finite element model is performed with an elasto-plastic behaviour for simulating the process. A configuration with an imposed displacement applied to the blank holder is adopted in this study. The comparison between the results of the numerical model and the experiments showed a good agreement.

Influence cutting parameters on the surface quality and corrosion behavior of Ti–6Al–4V alloy in synthetic body environment (SBF) using Response Surface Method

Measurement ◽  
2016 ◽  
Vol 88 ◽  
pp. 223-237 ◽  
Author(s):  
Sergio Luiz Moni Ribeiro Filho ◽  
Carlos Henrique Lauro ◽  
Alysson Helton Santos Bueno ◽  
Lincoln Cardoso Brandão
Keyword(s):  
Response Surface ◽  
Surface Quality ◽  
Response Surface Method ◽  
Corrosion Behavior ◽  
Cutting Parameters ◽  
Surface Method

Blending quality of co-air-textured yarn: Optimization parameters of Kevlar/polypropylene applicable for thermoplastic composites

2018 ◽  
Vol 53 (13) ◽  
pp. 1791-1802
Author(s):  
Mehrdad Hosseinalizadeh ◽  
Mehdi K Dolatabadi ◽  
Saeed S Najar ◽  
Reza E Farsani
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Cross Sections ◽  
Feed Rate ◽  
Textile Composites ◽  
Air Pressure ◽  
Thermoplastic Composites ◽  
Blend Ratio ◽  
Surface Method

Nowadays, hybrid yarns, which consist of at least one-component thermoplastic fibers, are used in thermoplastic textile composites. The uniformity of the fibers in hybrid yarns is a key factor that directly influences the composite properties. Accordingly, one of the main aims of the present research was to optimize the air texturing parameters to achieve the uniform blending of Kevlar/polypropylene fibers. To evaluate the blending uniformity of yarns, the radial, lateral and angular distribution of fibers, based on the position of the pixels of the constituent fibers, was evaluated using the image processing data of yarn cross sections. According to this method, the production parameters, namely, blend ratio, delivery speed, feed rate and air pressure, were optimized simultaneously via the response surface method to obtain the blending uniformity of the fibers. The uniform blending distribution could be achieved by a higher blend ratio of Kevlar/PP (1:6), a lower production speed (300 m/min), a higher feed rate (500 m/min), and a higher air pressure (10 bar). Eventually, it was confirmed that there was a good correlation between the blending quality of the real samples and the predicted quality of the response surface method model.

Optimization of Ultrasonic Elliptical Vibration Cutting Parameters Based on Response Surface Method

2020 ◽  
Vol 13 ◽  
Author(s):  
Wei Zhang ◽  
Maohua Xiao ◽  
Liang Zhang
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Cutting Parameters ◽  
Cutting Process ◽  
Machining Parameters ◽  
Elliptical Vibration Cutting ◽  
Vibration Cutting ◽  
Elliptical Vibration ◽  
Surface Method ◽  
Optimal Cutting Parameters

Background: Problems, such as severe hardening and poor processing quality, are present in the cutting process of difficult-to-machine materials. Objective: To investigate and optimize the machining parameters of 630 stainless steel by using an independently designed 28-KHz double-excitation elliptical vibration cutting process. Methods: Using the AdvantEdge platform and response surface method, the effects of the cutting speed Results: Results show that the error of the experimental results relative to the predicted ones under the optimized cutting parameter combination is less than 9%. Conclusion: Based on the response surface method, the optimal cutting parameters are obtained, and the cutting force and cutting temperature are at a lower level. The findings indicate the feasibility of the optimized machining parameters and provide a reference for the selection of cutting parameters and the publish of patents and when ultrasonic vibration is used to cut difficult-to-machine materials.

Predicting surface quality of γ-TiAl produced by additive manufacturing process using response surface method

2016 ◽  
Vol 30 (1) ◽  
pp. 345-352 ◽  
Author(s):  
Abdulrahman Al-Ahmari ◽  
Mohammad Ashfaq ◽  
Abdullah Alfaify ◽  
Basem Abdo ◽  
Abdulrahman Alomar ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Response Surface ◽  
Surface Quality ◽  
Response Surface Method ◽  
Manufacturing Process ◽  
Surface Method
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