Parametric Investigations into Bore Honing through Response Surface Methodology

2014 ◽  
Vol 808 ◽  
pp. 11-18 ◽  
Author(s):  
Jatinder Kapoor
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Finish ◽  
Strong Interaction ◽  
Input Parameter ◽  
Response Surfaces ◽  
Quality Characteristic ◽  
Input Process ◽  
Parametric Relationships

In the existing literature, the effect of various process parameters of Bore Honing on some of the quality characteristic has been reported, but the information as to how these parameters interact with each other during the operation is inadequate. Therefore, it is required to study the combined effect of the input process parameters on the performance of honing operation in order to develop parametric relationships. In the present paper, parametric relationships have been developed between three input process parameters namely, Reciprocating Speed, Over-run, and Rotational speed and three response parameters i.e. Taper, Out of Roundness, and Surface finish by the application of Response surface methodology (RSM). Strong interaction was observed between various input parameter while affecting the performance of the process. The study of response surfaces revealed some interesting facts about Bore Honing Process.

Fiber laser processing of GFRP composites and multi-objective optimization of the process using response surface methodology

2018 ◽  
Vol 53 (11) ◽  
pp. 1459-1473 ◽  
Author(s):  
Shiva Dayal Rao B ◽  
Abhijeet Sethi ◽  
Alok Kumar Das
Keyword(s):  
Response Surface Methodology ◽  
Fiber Laser ◽  
Response Surface ◽  
Process Parameters ◽  
Heat Affected Zone ◽  
Cutting Speed ◽  
Kerf Width ◽  
Laser Irradiance ◽  
Input Process ◽  
Cut Surface

In the present investigation, a continuous wave fiber laser with maximum power of 400 W was used to cut a glass fiber reinforced plastic sheet of 4.56 mm thickness using Nitrogen as assisting gas. The influence processing parameters such as laser irradiance, gas pressure, and cutting speed on the cut surface quality were investigated by using response surface methodology. The different responses of laser cut surface such as upper kerf width, taper percentage along the cut depth, and heat-affected zone on the top surface were measured to analyze the influence of input process parameters on the responses. A statistical analysis on the obtained results was conducted and found that the optimum values of different input process parameters were laser irradiance: 8.28 × 105 watt/cm2, cutting speed: 600 mm/min and assisting gas pressure: 7.84 bar. The corresponding values of responses were upper kerf width: 177.4 µm, taper 0.73%, and heat-affected zone on top surface: 109.23 µm. The confirmation experiments were conducted with the obtained optimum parameter setting and observed that the predicted values and experimental values for upper kerf width, taper percentage and top surface heat-affected zone were within the error limits of 2.52%, 1.84%, and 0.45%, respectively. Furthermore, damages like loose fibers, interlayer fractures, evaporation of matrix material and fiber breakages were observed.

Process Parameters Optimization for Thin-walled Tube Push-bending Using Response Surface Methodology

2021 ◽  
Author(s):  
Wenlong Xie ◽  
Weihao Jiang ◽  
Yunfeng Wu ◽  
Hongwu Song ◽  
Siying Deng ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Friction Coefficient ◽  
Response Surface ◽  
Process Parameters ◽  
Relative Length ◽  
Response Surfaces ◽  
Parameters Optimization ◽  
Process Window ◽  
Thin Walled Tube ◽  
Thin Walled

Abstract In this paper, the response surface methodology (RSM) and finite element (FE) simulation were applied to optimize the push-bending process parameters of the thin-walled tube with polyurethane mandrel. The objective of the present work is to predict the optimal set of process parameters including the relative length of the mandrel (L/D), the friction coefficient between die and tube (μ1), the friction coefficient between polyurethane and tube (μ2) and Poisson’s ratio of polyurethane (υ) to obtain qualified bent tubes. Three empirical models were developed to describe the relationship between process parameters and quality parameters of the bent tubes. In addition, the significant factors affecting the forming quality were analyzed using analysis of variance (ANOVA) of each model. Response surfaces were constructed to study the effect of each process parameter on the quality of the bent tubes. Finally, the process optimization window with the maximum thinning rate (ϑ) less than 20%, the maximum thickening rate (ψ) less than 17%, and the maximum cross-section ovality (ξ) less than 5% of the bent tube was established. Qualified bent tubes with diameter of 144 mm, wall thickness of 2 mm, and bending radius of 280 mm were formed experimentally by following the established process window.

scholarly journals Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Madhanagopal Manoharan ◽  
Arul Kulandaivel ◽  
Adinarayanan Arunagiri ◽  
Mohamad Reda A. Refaai ◽  
Simon Yishak ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Process Parameter ◽  
Depth Of Cut ◽  
Input Process ◽  
Coated Tools ◽  
Grey Taguchi

Milling is the surface machining process by removing material from the raw stock using revolving cutters. This process accounts for a major stake in most of the Original Equipment Manufacturing (OEM) industries. This paper discusses optimizing process parameters for machining the AA 2014 T 651 using a vertical milling machine with coated cutting tools. The process parameters such as cutting speed, depth of cut, and type of the cutting tool with all its levels are identified from the previous literature study and several trial experiments. The Taguchi L9 Orthogonal Array (OA) is used for the experimental order with the chosen input parameters. The commonly used cutting tools in the machining industry, such as High-Speed Steel (HSS) and its coated tools, are considered in this study. These tools are coated with Titanium Nitride (TiN) and Titanium Aluminum Nitride (TiAlN) by Physical Vapor Deposition (PVD) technique. The output responses such as cutting forces along the three-axis are measured using a milling tool dynamometer for the corresponding input factors. The input process parameters are optimized by considering the output responses such as MRR, machining torque, and thrust force. Grey Taguchi-based Response Surface Methodology (GTRSM) is used for multiobjective multiresponse optimization problems to find the optimum input process parameter combination for the desired response. Polynomial regression equations are generated to understand the mathematical relation between the input factor and output responses as well as Grey Relational Grade (GRG) values. The optimum process parameter combination from the desirability analysis is the HSS tool coated with TiAlN at a cutting speed of 270 rpm and a depth of cut value of 0.2 mm.

Optimization of the Process Parameters for the Synthesis of LiFe1−x−yMgxTiyPO4/C Cathode Material Using Response Surface Methodology

NANO ◽  
2016 ◽  
Vol 11 (11) ◽  
pp. 1650122 ◽  
Author(s):  
Xiaopeng Huang ◽  
Feng Liang ◽  
Yuanchao Du ◽  
Keyu Zhang ◽  
Yaochun Yao ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Cathode Material ◽  
Response Surface ◽  
Discharge Capacity ◽  
Process Parameters ◽  
Sintering Temperature ◽  
Electronic Conductivity ◽  
Composite Cathode ◽  
Response Surfaces ◽  
Co Doping

A systematic approach was used to develop the empirical model for optimizing the preparation process parameters for the synthesis of LiFe[Formula: see text]MgxTiyPO4/C composite cathode material. For optimizing the production parameters, response surface methodology (RSM) was applied to develop a linear regression model and maximize the discharge capacity. Analysis of the variance (ANOVA) showed that the three variables (Mg-dopant, Ti-dopant and sintering temperature) and the interactions among them were significant factors. Response surfaces formed by RSM illustrated that the doping of Mg and Ti on Fe site had obviously synergistic effect on the discharge capacity. In the process optimization, the parameters were 2.9% of Mg-dopant, 3.0% of Ti-dopant and sintering temperature of 678.5[Formula: see text]C, corresponding to a discharge capacity of 136.7[Formula: see text]mAh/g predicted by the model. This predicted value was in good agreement with the actual value (136.4[Formula: see text]mAh/g) by confirmatory experiment. The optimized LiFe[Formula: see text]Mg[Formula: see text]Ti[Formula: see text]PO4/C composite exhibits a good rate performance and cycling stability due to the enhancement of electronic conductivity and lithium diffusion coefficient ([Formula: see text][Formula: see text]cm2/s) by the co-doping of Mg and Ti ions.

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