Parametric optimization of parameters affecting dimension precision of FDM printed part using hybrid Taguchi-MARCOS-nature inspired heuristic optimization technique

2021 ◽  
Author(s):  
Abhishek Mohanty ◽  
Keshab Singh Nag ◽  
Dilip Kumar Bagal ◽  
Abhishek Barua ◽  
Siddharth Jeet ◽  
...  
Keyword(s):  
Parametric Optimization ◽  
Optimization Technique ◽  
Heuristic Optimization ◽  
Optimization Of Parameters ◽  
Dimension Precision

scholarly journals Buyer Inspired Meta-Heuristic Optimization Algorithm

2020 ◽  
Vol 10 (1) ◽  
pp. 194-219 ◽  
Author(s):  
Sanjoy Debnath ◽  
Wasim Arif ◽  
Srimanta Baishya
Keyword(s):  
Optimization Algorithm ◽  
Optimization Technique ◽  
Statistical Test ◽  
Heuristic Optimization ◽  
Product Choice ◽  
Exploration And Exploitation ◽  
The Social ◽  
Engineering Problems ◽  
The Mean

AbstractNature inspired swarm based meta-heuristic optimization technique is getting considerable attention and established to be very competitive with evolution based and physical based algorithms. This paper proposes a novel Buyer Inspired Meta-heuristic optimization Algorithm (BIMA) inspired form the social behaviour of human being in searching and bargaining for products. In BIMA, exploration and exploitation are achieved through shop to shop hoping and bargaining for products to be purchased based on cost, quality of the product, choice and distance to the shop. Comprehensive simulations are performed on 23 standard mathematical and CEC2017 benchmark functions and 3 engineering problems. An exhaustive comparative analysis with other algorithms is done by performing 30 independent runs and comparing the mean, standard deviation as well as by performing statistical test. The results showed significant improvement in terms of optimum value, convergence speed, and is also statistically more significant in comparison to most of the reported popular algorithms.

Experimental Investigation and Parametric Optimization in Abrasive Jet Machining on NICKEL 233 Alloy Using WASPAS

2019 ◽  
Vol 18 (04) ◽  
pp. 549-561
Author(s):  
S. Rajendra Prasad ◽  
K. Ravindranath ◽  
M. L. S. Devakumar
Keyword(s):  
Parametric Optimization ◽  
Removal Rate ◽  
Optimization Technique ◽  
Machining Parameters ◽  
Abrasive Jet Machining ◽  
Process Pressure ◽  
Conflicting Objectives ◽  
Machined Parts ◽  
Optimal Setting ◽  
First Time

Decision of finest machining parameters is very essential factors in any processing of machined parts. This article presents a multi-objective optimization technique, based on WASPAS method toward optimize the machining parameters in abrasive jet machining (AJM) process: pressure, nozzle to tip distance (NTD), and average grain diameter on NICKEL 233 alloy. Three conflicting objectives, Material Removal Rate (MRR), surface roughness (Ra) and taper angle (Ta) are simultaneously considered. The proposed technique weighted aggregated product sum assessment technique is investigation of parametric optimization on AJM process. Its outcome using tool in any ranges of responses in AJM process is the optimal setting of parameters are determined through experiments illustrated. Broad usage of Aerospace industries for NICKEL 233, generating a hole of the machining data first time in this work using AJM will be useful.

scholarly journals Fully Parametric Optimization Designs of Wing Components

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhendong Hu ◽  
Ju Qiu ◽  
Fa Zhang
Keyword(s):  
Optimization Design ◽  
Systematic Approach ◽  
Parametric Optimization ◽  
Structural Strength ◽  
Optimization Technique ◽  
Optimization Method ◽  
Operating Costs ◽  
Traditional Design ◽  
Structure Changes ◽  
Wing Optimization

An optimization technique called shape-linked optimization, which is different from the traditional optimization method, is introduced in this paper. The research introduces an updated wing optimization design in an effort to adapt to continuous structure changes and shapes while optimizing for a lighter weight of the structure. The changing tendencies of the thickness of wing skins and the cross-section areas of the wing beams are fitted to continuous polynomial functions, whose coefficients are designed as variables, which is a different engineering approach from the size variants of the thickness and the area in the traditional optimization. The structural strength, stiffness, and stability are constraints. Firstly, this research unearths the significance of utilizing a modernized optimization process which alters the production of the traditional 12 or over 12 segment wing design and applies new approaches and methods with less variables that contribute to expedited design cycles, decreased engineering and manufacturing expenditures, and a lighter weight aircraft with lower operating costs than the traditional design for the operators. And then, this paper exemplifies and illustrates the validity of the above claims in a detailed and systematic approach by comparing traditional and modernized optimization applications with a two-beam wing. Finally, this paper also proves that the new optimized structure parameters are easier than the size optimization to process and manufacture.

scholarly journals Parametric optimization of rice bran oil extraction using response surface methodology

2016 ◽  
Vol 18 (3) ◽  
pp. 103-109 ◽  
Author(s):  
Syed W. Ahmad ◽  
Farhan Javed ◽  
Sajjad Ahmad ◽  
Muhammad Akram ◽  
Abdur Rehman
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Rice Bran ◽  
Contact Time ◽  
Parametric Optimization ◽  
Rice Bran Oil ◽  
Optimization Technique ◽  
Oil Extraction ◽  
Experimental Results ◽  
Stirring Rate

Abstract Use of bran oil in various edible and nonedible industries is very common. In this research work, efficient and optimized methodology for the recovery of rice bran oil has been investigated. The present statistical study includes parametric optimization, based on experimental results of rice bran oil extraction. In this study, three solvents, acetone, ethanol and solvent mixture (SM) [acetone: ethanol (1:1 v/v)] were employed in extraction investigations. Response surface methodology (RSM), an optimization technique, was exploited for this purpose. A five level central composite design (CCD) consisting four operating parameter, like temperature, stirring rate, solvent-bran ratio and contact time were examined to optimize rice bran oil extraction. Experimental results showed that oil recovery can be enhanced from 71% to 82% when temperature, solvent-bran ratio, stirring rate and contact time were kept at 55°C, 6:1, 180 rpm and 45 minutes, respectively while fixing the pH of the mixture at 7.1.

Effect by Guide Vane Swirl and Tumble Device to Improve the Air-Fuel Mixing of Diesel Engine Running With Higher Viscous Fuels

2013 ◽  
Author(s):  
Idris Saad ◽  
Saiful Bari
Keyword(s):  
Alternative Fuels ◽  
Parametric Optimization ◽  
Reference Data ◽  
Guide Vane ◽  
Optimization Technique ◽  
Optimum Number ◽  
Ansys Software ◽  
Mixing Processes ◽  
Ci Engine ◽  
Ci Engines

The purpose of this study was to investigate the effect guide vane swirl and tumble device (GVSTD) on the in-cylinder airflow particularly to generate turbulent kinetic energy (TKE) and velocity inside the combustion chamber and around fuel injected region. High velocity and TKE would accelerate the evaporation, diffusion and mixing processes of CI engines, particularly when alternative fuels of higher viscosity and density (known as HVF — higher viscous fuel) are used. A verified simulation base model was prepared by the SolidWorks software and analysed using ANSYS software to study the reference data of the resulting in-cylinder airflow characteristics. Then GVSTD models were developed and imposed on the intake runner of the base model. The parametric optimization technique was used to find the optimum number of vanes for the GVSTD model. This was done by preparing 10 GVSTD models with the vane number varied from 3 to 12. The models were then tested on the base model individually. Generally, GVSTD improve in-cylinder TKE and velocity. Additionally, this research found that GVSTD with 3 vanes resulted in an improved TKE and velocity of about 6.3% and 10.4% respectively when compared to the base model. Therefore, it may be said that the use of GVSTD can increase the chances to improve the performance of a CI engine and reduce the emission when run on HVF.

scholarly journals Denoising Images by Dual–Tree Complex Wavelet Transform Combined with Meta Heuristic Optimization Algorithms

2020 ◽  
Vol 9 (4) ◽  
pp. 2621-2627
Keyword(s):  
Wavelet Transform ◽  
Image Denoising ◽  
Signal To Noise Ratio ◽  
Optimization Algorithms ◽  
Optimization Technique ◽  
Threshold Value ◽  
Heuristic Optimization ◽  
Algorithm Optimization ◽  
Complex Wavelet Transform ◽  
Complex Wavelet

Denoising is a prime objective technique for processing images. Image denoising techniques removes the noises present in an image without interrupting its features and contents. The image gets interrupted by channel or processing noise depending on the applications. Thus, the contaminated noises produce degradable image qualities with respect to subjective and objective approach. To overcome this, image denoising approaches were suggested. In the present research, Dual–Tree Complex Wavelet transform (DTCWT) is utilized to achieve image denoising since they perform multi resolution decomposition by two DWT trees. Soft and hard thresholding methods are used to threshold wavelet coefficients. The present research proposes a novel technique to denoise images which gives image information clearly by thresholding and optimization technique. The optimization is carried through different Meta-heuristic optimization Algorithms Genetic Algorithm (GA) and Grey-wolf optimization (GWO) algorithm. Optimization of threshold value is performed after Bayesian method and the observed output produces better results when compared to other techniques involving Visu shrink, Sure shrink and Bayes shrinkbased on peak signal to noise ratio (PSNR) and visual qualities.

Implementation of a novel Fibonacci branch search optimizer for the design of the low sidelobe and deep nulling adaptive beamformer

2020 ◽  
Vol 12 (7) ◽  
pp. 660-677
Author(s):  
Haichuan Zhang ◽  
Fangling Zeng
Keyword(s):  
Optimization Technique ◽  
Optimal Solution ◽  
Fibonacci Sequence ◽  
Search Space ◽  
Adaptive Beamforming ◽  
Heuristic Optimization ◽  
Local Optimum ◽  
Adaptive Beamformer ◽  
High Convergence Rate ◽  
Global And Local

AbstractIn this work, we proposed an adaptive beamformer based on a novel heuristic optimization algorithm. The novel optimization technique inspired from Fibonacci sequence principle, designated as Fibonacci branch search (FBS), used new tree's branches fundamental structure and interactive searching rules to obtain the global optimal solution in the search space. The branch structure of FBS is selected using two types of multidimensional points on the basis of shortening fraction formed by Fibonacci sequence; in this mode, interactive global and local searching rules are implemented alternately to obtain the optimal solutions, avoiding stagnating in local optimum. The proposed FBS is also used here to construct an adaptive beamforming (ABF) technique as a real-time implementation to achieve near-optimal performance for its simplicity and high convergence rate, then, the performance of the FBS is compared with the five typical heuristic optimization algorithms. Simulation results demonstrate the superiority of the proposed FBS approach in locating the optimal solution with higher precision and reveal further improvement in the ABF performance.

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