Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm

Ahmad, Shadab; Singari, Ranganath M.; Mishra, R. S.

doi:10.1080/10426914.2020.1866196

Cited by 34 publications

(11 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An ANN with a backpropagation algorithm was exploited to model the combined effects of FDM printing and AFM finishing parameters on the surface finish of crescent prism parts made from PLA. The ANN was designed in three stages: training, testing and validation (Ahmad et al , 2021b; Singh et al , 2019; Tayyab et al , 2022), using experimental data (Table 7) and developed using MATLAB R2021a. The neural network consists of three layers of neurons: the input layer, the hidden layer and the output layer (Bishop, 1995).…”

Section: Modelling and Optimizationmentioning

confidence: 99%

A novel eco-friendly abrasive media based abrasive flow machining of 3D printed PLA parts using IGWO and ANN

Hashmi

Mali

Meena

et al. 2023

RPJ

Self Cite

View full text Add to dashboard Cite

Purpose Three-dimensional (3D) printed parts usually have poor surface quality due to layer manufacturing’s “stair casing/stair-stepping”. So post-processing is typically needed to enhance its capabilities to be used in closed tolerance applications. This study aims to examine abrasive flow finishing for 3D printed polylactic acid (PLA) parts. Design/methodology/approach A new eco-friendly abrasive flow machining media (EFAFM) was developed, using paper pulp as a base material, waste vegetable oil as a liquid synthesizer and natural additives such as glycine to finish 3D printed parts. Characterization of the media was conducted through thermogravimetric analysis and Fourier transform infrared spectroscopy. PLA crescent prism parts were produced via fused deposition modelling (FDM) and finished using AFM, with experiments designed using central composite design (CCD). The impact of process parameters, including media viscosity, extrusion pressure, layer thickness and finishing time, on percentage improvement in surface roughness (%ΔRa) and material removal rate were analysed. Artificial neural network (ANN) and improved grey wolf optimizer (IGWO) were used for data modelling and optimization, respectively. Findings The abrasive media developed was effective for finishing FDM printed parts using AFM, with SEM images and 3D surface profile showing a significant improvement in surface topography. Optimal solutions were obtained using the ANN-IGWO approach. EFAFM was found to be a promising method for improving finishing quality on FDM 3D printed parts. Research limitations/implications The present study is focused on finishing FDM printed crescent prism parts using AFM. Future research may be done on more complex shapes and could explore the impact of different materials, such as thermoplastics and composites for different applications. Also, implication of other techniques, such as chemical vapour smoothing, mechanical polishing may be explored. Practical implications In the biomedical field, the use of 3D printing has revolutionized the way in which medical devices, implants and prosthetics are designed and manufactured. The biodegradable and biocompatible properties of PLA make it an ideal material for use in biomedical applications, such as the fabrication of surgical guides, dental models and tissue engineering scaffolds. The ability to finish PLA 3D printed parts using AFM can improve their biocompatibility, making them more suitable for use in the human body. The improved surface quality of 3D printed parts can also facilitate their sterilization, which is critical in the biomedical field. Social implications The use of eco-friendly abrasive flow finishing for 3D printed parts can have a positive impact on the environment by reducing waste and promoting sustainable manufacturing practices. Additionally, it can improve the quality and functionality of 3D printed products, leading to better performance and longer lifespans. This can have broader economic and societal benefits. Originality/value This AFM media constituents are paper pulp, waste vegetable oil, silicon carbide as abrasive and the mixture of “Aloe Barbadensis Mill” – “Cyamopsis Tetragonoloba” powder and glycine. This media was then used to finish 3D printed PLA crescent prism parts. The study also used an IGWO to optimize experimental data that had been modelled using an ANN.

show abstract

Section: Modelling and Optimizationmentioning

confidence: 99%

A novel eco-friendly abrasive media based abrasive flow machining of 3D printed PLA parts using IGWO and ANN

Hashmi

Mali

Meena

et al. 2023

RPJ

Self Cite

View full text Add to dashboard Cite

show abstract

“…High microhardness improves material dependability, reduces maintenance requirements, and extends the lifespan of metal-based products across various industries. This, in turn, enhances customer satisfaction and cost-effectiveness [4][5][6][7][8]. Traditional finishing methods, such as grinding, honing, and lapping, have limitations in effectively finishing these materials due to their unique characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…In works that considered the microhardness as a response factor, several previous studies adapted stainless steel metals of different classifications with various numbers of input parameters. Firstly, the effect of five parameters (current, machining gap, speed, abrasives concentration and time) on microhardness in MAF process was studied by Ahmad et al [6]. Singh et al [35] improved the microhardness surfaces of specimens using four input parameters (mesh size, speed, time and abrasive weight).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the five magnetic abrasive finishing factors on surface quality using Taguchi-based grey relational analysis

Mohammed S Ahmed,

Shather

2024

Eng. Res. Express

View full text Add to dashboard Cite

The effectiveness of the magnetic abrasive finishing (MAF) process relies on several factors, including the brush's flexibility that varies across tools. This study aimed to optimize the results of five key parameters (voltage, finishing time, gap distance, rotating speed, and particle size) on surface roughness (SR) and microhardness (HV) using the grey relational analysis (GRA) method. Experimental work employed the Taguchi design with L27 trials in Minitab 17, involving five variables with three levels for each. The impact of these parameters on microhardness and surface roughness for stainless steel SUS420 bubble cups was assessed using Taguchi and regression analyses. The best roughness improvement and the most substantial enhancement in microhardness were individually obtained with the GRA method. This method assigned the best results for both surface roughness and microhardness. According to Taguchi analysis, the voltage parameter has the main or maximum parameter effect on grade, followed by gap distance, time, spindle speed, and particle size. It was found that the optimal parameters were the same as the input parameters.

show abstract

“…Ahmad et al studied about the ultrasonically assisted hybrid machining on Inconel alloys to detect the improvements of machinability in aerospace industry. The machining-initiated residual stress indicated that in UAT, increasingly compressive stresses were produced, assisting with diminishing the net tensile stresses, which were otherwise created in (conventional) machining [6]. Gani et al studied about the application of opposite examination method to assess the external unevenness after machining of Inconel 718 using LA (laserassisted) milling.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Plasma Arc Cutting Parameters on Machining of Inconel 718 Superalloy

Karthick

Anand

Meikandan

et al. 2022

Journal of Nanomaterials

View full text Add to dashboard Cite

Nickel-based super composites are widely applied in the industry. These alloys withstand high thermal debility conditions and give better strength to machine parts in aviation, biomechanical, marine, and vehicle commerce. Nickel-based alloys have high quality, corrosion resistance, and high heat refusal. Inconel 718 is one such composite extensively utilized in these loading circumstances because of chemical stability, mechanical friction, high thermal corrosion, and high stability. During the cutting procedure, these qualities will bring a lot of processing issues, for example, surface roughness, machining efficiency, and wear of tool. Plasma arc cutting (PAC) is an upsetting metal-cutting process to perform slicing of hard to cut materials even for complex profiles. The present work analyzes the impact of PAC process factors, for instance, gas pressure (GP), arc current (AC), cutting speed (CS), and stand-off distance (SOD) on assessing the kerf width (KW), kerf taper (KT), and heat-affected zone (HAZ) of Inconel 718 superalloy. This work deliberates about the cutting parameters required for the machining of Inconel 718 to provide least surface roughness and low instrument wear. The experiments conducted to validate the ingenuity of the process are in accordance with the optimal parameter settings necessary for machining purposes. The divergence from actuality has been extremely minimal with a relative error of 4.45% for kerf width and 4.36% for the extent of heat-affected zone postmachining.

show abstract

Tri-objective constrained optimization of pulsating DC sourced magnetic abrasive finishing process parameters using artificial neural network and genetic algorithm

Cited by 34 publications

References 52 publications

A novel eco-friendly abrasive media based abrasive flow machining of 3D printed PLA parts using IGWO and ANN

A novel eco-friendly abrasive media based abrasive flow machining of 3D printed PLA parts using IGWO and ANN

Optimizing the five magnetic abrasive finishing factors on surface quality using Taguchi-based grey relational analysis

Optimization of Plasma Arc Cutting Parameters on Machining of Inconel 718 Superalloy

Contact Info

Product

Resources

About