Application of Heuristic Methods for Polymer Synthesis Process Optimization DOI Creative Commons
Eldar Miftakhov, Светлана Мустафина, А. А. Akimov

et al.

Journal of Engineering, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

A numerical algorithm has been developed for solving the problem of finding optimal conditions synthesis polymers using heuristic optimization methods, and its effectiveness evaluated in investigation copolymerization process butadiene with styrene, proceeding via a free‐radical mechanism. To address task conditions, genetic proposed, main stages implementation software development tools have defined. For mathematical description process, kinetic approach based on use statistical moments molecular mass distribution employed, allowing derivation classical model form system differential equations. Application to this enabled identification regulator feeding regime, facilitating attainment desired product characteristics. The proposed is versatile, search one or multiple parameters both continuous discrete variable sets, characteristic optimizing technological industrial production.

Language: Английский

An experimental and modelling approach to proclaim sustainable machining using avocado oil-based nano-cutting fluids DOI Creative Commons

Abera Ayza Anebo,

Venkatesh Chenrayan, Kiran Shahapurkar

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 10, 2025

Language: Английский

Citations

0
A Hybrid Algorithm for Optimizing Machining and Spraying Parameters in MQL-Turning of Inconel 800H DOI

V Kannan,

Kotha Mokshajna

SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1

Published: Feb. 7, 2025

<div class="section abstract"><div class="htmlview paragraph">Inconel 800H superalloy is a difficult-to-turn material. This study aims to achieve optimal machining results, including reduced cutting force, improved surface roughness, and minimized residual stress, by optimizing input parameters like speed, feed rate, spraying angle, nozzle distance on Inconel 800H. The Taguchi L27 method utilized for experimentation, while the Harris hawks optimizer (HHO) applied in multi-objective optimization model. Additionally, Technique Order of Preference Similarity Ideal Solution (TOPSIS) used identify parameters. Five distinct weight schemes were employed, Analytic Hierarchy Process (AHP), Entropy method, Criteria Importance through Inter-Criteria Correlation (CRITIC), Grey relational analysis (GRA), Principal Component Analysis (PCA) determine response weights. revealed that primary factor affecting all measured weights with angle closely followed, as determined ANOVA, based comprehensive evaluation output responses. Notable enhancement MQL turning when contrasted dry turning, reflected responses stress at 72.62%, 8.08%, 19.32%, respectively, using AHP-TOPSIS compared AHP-HHO.</div></div>

Language: Английский

Citations

0
Optimized Machining Parameters for High-Speed Turning Process: A Comparative Study of Dry and Cryo+MQL Techniques DOI Open Access
Nabil Jouini, Jaharah A. Ghani, Saima Yaqoob

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 739 - 739

Published: March 4, 2025

Hard turning is a precision machining process used to cut materials with hardnesses exceeding 45 HRC using single-point tools. It offers an efficient alternative traditional grinding for finishing operations in manufacturing. This paper explores the machinability of hardened AISI 4340 steel hard utilizing dry and cryogenic (Cryo) plus minimum quantity lubrication (MQL) (Cryo+MQL) techniques, focusing on critical aspects such as cutting force, surface roughness, tool life. The orthogonal was performed speed (V) ranging from 300–400 m/min, feed rate (f) between 0.05 1 mm/rev, depth (doc) 0.1 0.3 mm. A statistical analysis obtained results revealed that most influential parameter, contributing 50.69% main force 80.03% roughness. For life, identified dominant factor, contribution 39.73%. Multi-objective optimization Grey relational (GRA) optimal parameters alloy V = 300 f doc Cryo+MQL technique subsequently applied these parameters, yielding significant improvements, 48% reduction roughness 184.5% increase attributed enhanced cooling efficiency. However, slight 4.6% observed, likely due hardening induced by low-temperature LN2 cooling. Furthermore, reduced adhesion fracture principal edge under conditions justify superior quality extended life achieved. research highlights industrial relevance hybrid addressing challenges associated processes.

Language: Английский

Citations

0
A comprehensive review on the viability of minimum quantity lubrication technology for machining difficult-to-cut alloys DOI Creative Commons
Abhijit Bhowmik, Raman Kumar,

T. Ramachandran

et al.

AIP Advances, Journal Year: 2025, Volume and Issue: 15(3)

Published: March 1, 2025

In recent years, sustainability has evolved profoundly and garnered significant global attention, establishing itself as a pivotal topic in contemporary research. line with this development, the present review thoroughly examines existing studies on machining processes employing minimum quantity lubrication (MQL). The growing imperative for sustainable practices driven researchers to reassess alternative techniques within operations. Although conventional lubri-cooling agents continue be widely used engineering alloys, an expanding body of research demonstrates that incorporation vegetable oils, nanofluids, nanoplatelets into MQL systems can yield superior performance compared traditional methods. presents overview developments advancements related technology provides rigorous analysis oils nanofluids metalworking fluids. This study also eco-friendly approaches flood serves meaningful resource move toward greener solutions.

Language: Английский

Citations

0
Sustainable machining: enhancing performance with vegetable oil-based nano cutting fluids DOI Creative Commons
Javvadi Eswara Manikanta, Nitin Ambhore, Chetan P. Nikhare

et al.

Discover Materials, Journal Year: 2025, Volume and Issue: 5(1)

Published: March 20, 2025

Language: Английский

Citations

0
Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach DOI Creative Commons
Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(4)

Published: March 21, 2025

Abstract This present work deals with improving the WEDM machining performance through soft computing techniques. In this study, a new strategy was implemented on NiTi-SMA (Nitinol-SMA) using ANFIS (Adaptive Neuro-Fuzzy Inference System) and PSO (Particle Swarm Optimization) in wire-EDM (electrical discharge machining). The findings recommended optimal operating settings to maximize dimensional accuracy minimize both processing time cost. Real-time monitoring performed vibration device assess frequency of motion wire electrode during cutting interaction workpiece. main measurable aspects included vibration, surface finish, overcut. A Taguchi L 18 mixed-level design experiments (DOE) has been used conduct these tests. After testing, suggested common setting for each feature: peak current (11.5 A), pulse-on-time (125 µs), pulse-off-time (58 servo voltage (55 V), feed (2 mm/min), resulting feature values ​​of 0.113 K-Hz, µm, 0.0526 µm. contrast, alternative yielded 0.68 1.87 0.648 Comparative analysis demonstrated that modeling provided better results, excellent significant improvements morphology chemical composition, as investigated via FESEM EDS testing at machined unmachined Zn coated brass wire. addition, effectively reduced micro cracks potholes compared PSO.

Language: Английский

Citations

0
Entropy-TOPSIS-based material selection for sustainable polymer composite: An MCDM framework promoting circular economy DOI
Archisman Dasgupta, Binayak Sen, Prasenjit Dutta

et al.

Journal of Elastomers & Plastics, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

The increasing environmental challenges posed by plastic and rubber waste have necessitated the development of sustainable materials aligned with principles circular economy. This study explores fabrication evaluation polymer composites derived from recycled polyethylene terephthalate (PET) ground tire (GTR). Using an entropy-TOPSIS-based multi-criteria decision-making (MCDM) framework, optimal material compositions were identified to balance physical, mechanical, thermal properties. Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), Fourier Transform Infrared (FTIR) analyses provided insights into microstructure, elemental composition, chemical bonding, confirming compatibility PET GTR. Mechanical characterizations revealed that increased GTR ratios reduce density (1.306–1.208 gm/cm 3 ) melting temperature (220.25–192.57°C) while enhancing tensile strength (52.78–73.58 MPa) flexural modulus (66.23–106.32 MPa). identifies 70:30 PET-GTR ratio as best composition for lightweight, durable, ecofriendly applications. These demonstrate potential use in industries such automotive, construction, prosthetics. By utilizing materials, research addresses concerns promoting innovative applications waste-derived resources. framework provides a robust approach advancing selection, contributing economy, supporting eco-friendly manufacturing practices.

Language: Английский

Citations

0
AI-Driven Wear Monitoring of PVD TiAlN Coated Carbide Insert in Sustainable Machining of Hastelloy C276: An Industry 4.0 Perspective DOI Creative Commons
Binayak Sen, Subhankar Saha, Raman Kumar

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104457 - 104457

Published: Feb. 1, 2025

Language: Английский

Citations

0
Optimization of Extrusion Parameters for Low-Cost Alumina–Kaolin Ceramic Membranes via CCD DOI Creative Commons

Mahmoud Moharrami,

Mohammadreza Omidkhah, Mohammad Salehi Maleh

et al.

Journal of Materials Research and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Application of Heuristic Methods for Polymer Synthesis Process Optimization DOI Creative Commons
Eldar Miftakhov, Светлана Мустафина, А. А. Akimov

et al.

Journal of Engineering, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

A numerical algorithm has been developed for solving the problem of finding optimal conditions synthesis polymers using heuristic optimization methods, and its effectiveness evaluated in investigation copolymerization process butadiene with styrene, proceeding via a free‐radical mechanism. To address task conditions, genetic proposed, main stages implementation software development tools have defined. For mathematical description process, kinetic approach based on use statistical moments molecular mass distribution employed, allowing derivation classical model form system differential equations. Application to this enabled identification regulator feeding regime, facilitating attainment desired product characteristics. The proposed is versatile, search one or multiple parameters both continuous discrete variable sets, characteristic optimizing technological industrial production.

Language: Английский

Citations

1