Multi-objective optimization in incremental sheet forming of Ti-6Al-4V alloy using grey relational analysis method

2021 ◽  
pp. 095440892110637
Author(s):  
C Veera Ajay ◽  
S Elangovan ◽  
S Pratheesh Kumar ◽  
K Manisekar
Keyword(s):  
Grey Relational Analysis ◽  
Feed Rate ◽  
Rotational Speed ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Analysis Method ◽  
Multi Objective Optimization ◽  
Tool Rotational Speed ◽  
Relational Analysis ◽  
Grey Relational

Incremental sheet forming is a novel approach and advanced manufacturing process in industries, where it is capable of producing complex geometrical components with high accuracy. In this study, Ti-6Al-4V material used in aircraft, naval ships, spacecraft, armour plating and missiles was considered to determine the formability in the incremental sheet forming process. A 20 set of experiments were conducted considering three process variables such as tool rotational speed, step depth and feed rate on the response variables such as formed wall thickness, surface roughness, thrust force and wall angle. The process parameters are optimized using the grey relational analysis method to achieve a better quality of products. By execution multi-objective optimization using grey relational analysis, it is observed that 200 r/min tool rotational speed, 0.1 mm step depth and 2000 mm/min feed rate are optimum parameter settings.

Multiobjective optimization of process variables in single-point incremental forming using grey relational analysis coupled with entropy weights

2021 ◽  
pp. 146442072110204
Author(s):  
Abdulmajeed Dabwan ◽  
Adham E Ragab ◽  
Mohamed A Saleh ◽  
Atef M Ghaleb ◽  
Mohamed Z Ramadan ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Incremental Forming ◽  
Single Point ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Numerical Control ◽  
Single Point Incremental Forming ◽  
Process Variables ◽  
Relational Analysis ◽  
Grey Relational

Incremental sheet forming is a specific group of sheet forming methods that enable the manufacture of complex parts utilizing computer numerical control instead of specialized tools. It is an incredibly adaptable operation that involves minimal usage of sophisticated tools, dies, and forming presses. Besides its main application in the field of rapid prototyping, incremental sheet forming processes can be used for the manufacture of unique parts in small batches. The goal of this study is to broaden the knowledge of the deformation process in single-point incremental forming. This work studies the deformation behavior in single-point incremental forming by experimentally investigating the principal stresses, principal strains, and thinning of single-point incremental forming products. Conical-shaped components are fabricated using AA1050-H14 aluminum alloy at various combinations of fundamental variables. The factorial design is employed to plan the experimental study and analysis of variance is conducted to analyze the results. The grey relational analysis approach coupled with entropy weights is also implemented to identify optimum process variables for single-point incremental forming. The results show that the tool diameter has the greatest effect on the thinning of the SPIF product, followed by the sheet thickness, step size, and feed rate.

Optimization of AA5052 in incremental sheet forming using grey relational analysis

Measurement ◽  
2017 ◽  
Vol 106 ◽  
pp. 95-100 ◽  
Author(s):  
Angshuman Baruah ◽  
C. Pandivelan ◽  
A.K. Jeevanantham
Keyword(s):  
Grey Relational Analysis ◽  
Sheet Forming ◽  
Incremental Sheet Forming ◽  
Relational Analysis ◽  
Grey Relational

scholarly journals Effects of process parameters on mechanical and metallurgical properties of AA5083 weld bead and optimization by using Taguchi based grey relational analysis and ANOVA of submerged friction stir welding.

2021 ◽  
Author(s):  
Laxmanaraju salavaravu ◽  
◽  
Lingaraju Dumpala ◽  
Keyword(s):  
Friction Stir Welding ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Rotational Speed ◽  
Weld Zone ◽  
Process Conditions ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Relational Analysis ◽  
Grey Relational

Friction stir welding (FSW) can be made to improve the mechanical properties in the weld zone. This article aims to obtain the optimum FSW process parameters used for two plates of AA5083 welded joints. The significant factors in the FSW process are tool rotational speed(TRS), tool transverse speed(TTS), and the weld process conditions are Submerged FSW and Normal FSW. For doing the investigation, the Taguchi method L18 orthogonal array design of experimentation is utilized. Using the Grey Relational Analysis(GRA) to calculate the grey relation grade, the response parameters are tensile strength, microhardness, and surface roughness. The Optimum process parameters contain been recognized, and ANOVA controls the significant contribution of process parameters. The optimal FSW process parameters are used to maximize the FSW joint strength. It is identified in the condition of Submerged FSW, high tool rotational speed, and low TTS.

scholarly journals Parametric Optimization of Mechanical Properties via FSW on AA5052 Using Taguchi Based Grey Relational Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 21-30
Author(s):  
C. CHANAKYAN ◽  
S. SIVASANKAR ◽  
M. MEIGNANAMOORTHY ◽  
S. V. ALAGARSAMY
Keyword(s):  
Friction Stir Welding ◽  
Aluminium Alloy ◽  
Grey Relational Analysis ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Relational Analysis ◽  
Grey Relational ◽  
Tool Pin

The Friction stir processing benefits of aluminium composites contain advanced exploration in the region of aluminium alloy Friction Stir Welding - FSW. The modern advancements in Friction Stir Welding are concentrated on the optimization of welding parameters for multi response attributes. The investigations were carried out with the tool pin profiles, tool rotational speed and traverse speed as predictable process parameters for multi response optimization in Friction Stir Welding of 5052 aluminium alloy. GRG (grey relational grade) was obtained by the grey relational analysis of the friction stir welding process through different qualities, particularly, UTS-ultimate tensile strength and micro hardness. The significant process variables on GRG and most substantial parameters traverse speed and tool pin profiles are examined by ANOVA. Excluding tool rotational speed, tool pin profiles and traverse speed were likewise observed to be significant. To approve the investigation, verification of tests was completed at optimal parameters arrangement and predicted outcomes were observed to be in great concurrence with test values.

Parametric optimization of friction stir welding process parameters of dissimilar welded joints using grey relational analysis and desirability function approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhanodaya Kiran Babu Nadikudi
Keyword(s):  
Tensile Strength ◽  
Process Parameters ◽  
Tilt Angle ◽  
Grey Relational Analysis ◽  
Rotational Speed ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Relational Analysis ◽  
Grey Relational

Purpose The main purpose of the present work is to study the multi response optimization of dissimilar friction stir welding (FSW) process parameters using Taguchi-based grey relational analysis and desirability function approach (DFA). Design/methodology/approach The welded sheets were fabricated as per Taguchi orthogonal array design. The effects of tool rotational speed, transverse speed and tool tilt angle process parameters on ultimate tensile strength and hardness were analyzed using grey relational analysis, and DFA and optimum parameters combination was determined. Findings The tensile strength and hardness values were evaluated from the welded joints. The optimum values of process parameters were estimated through grey relational analysis and DFA methods. Similar kind of optimum levels of process parameters were obtained through two optimization approaches as tool rotational speed of 1150 rpm, transverse speed of 24 mm/min and tool tilt angle of 2° are the best process parameters combination for maximizing both the tensile strength and hardness. Through these studies, it was confirmed that grey relational analysis and DFA methods can be used to find the multi response optimum values of FSW process parameters. Research limitations/implications In the present study, the FSW is performed with L9 orthogonal array design with three process parameters such as tool rotational speed, transverse speed and tilt angle and three levels. Practical implications Aluminium alloys are widely using in automotive and aerospace industries due to holding a high strength to weight property. Originality/value Very limited work had been carried out on multi objective optimization techniques such as grey relational analysis and DFA on friction stir welded joints made with dissimilar aluminium alloys sheets.

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