Optimization of Drilling Parameters in Natural Fibers Composite Plates Based on Grey Relational Analysis DOI Creative Commons
Mustapha Arslane, Mohamed Slamani, Abdelmalek Elhadi

et al.

Journal of Natural Fibers, Journal Year: 2024, Volume and Issue: 22(1)

Published: Dec. 28, 2024

This study focuses on optimizing drilling parameters to minimize delamination, circularity error, and cylindricity in natural fiber composites through a comprehensive full factorial Design of Experiments (DoE) combined with Grey Relational Analysis (GRA). The novelty this work lies its systematic integration these methods evaluate the effects spindle speed, feed rate, drill type (HSS, HSS-Co, Solid Carbide) hole quality, providing robust framework for multi-response optimization. Results reveal that rate is most significant factor, optimal conditions – lower rates (0.04 mm/rev) moderate speeds (1592 rpm) delivering reduced delamination improved quality. Among tested drills, Carbide demonstrated superior performance lowest errors. highlights potential parameter optimization advance eco-friendly composite manufacturing enhance precision.

Language: Английский

The prognostic significance of epoxide hydrolases in colorectal cancer DOI
Lichao Cao,

Ying Ba,

Fangfang Chen

et al.

Biochemistry and Biophysics Reports, Journal Year: 2025, Volume and Issue: 41, P. 101912 - 101912

Published: Jan. 1, 2025

Language: Английский

Citations

1

Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques DOI Creative Commons
Zhenya Qi,

Yu-Dong Feng,

Shanyong Wang

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 16(1), P. 103206 - 103206

Published: Dec. 7, 2024

Language: Английский

Citations

8

Investigating low velocity impact and compression after impact behaviors of carbon fiber/epoxy composites reinforced with helical multiwalled carbon nanotubes DOI Creative Commons
Abdullah H. Alshehri,

Ali Alamry,

Seyed Saeid Rahimian Koloor

et al.

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Pre-damage and undetected micro-defects in fiber-reinforced polymer (FRP) composites are significant challenges compromising the integrity mechanical performance of composite structures aerospace applications. To address this challenge, experimental study investigated low velocity impact (LVI) compression after (CAI) behaviors carbon fiber/epoxy (CF/E) reinforced with 0.0 (control sample), 0.2, 0.4 wt% helical multiwalled nanotubes (HMWCNTs). The LVI test results showed that control samples, epoxy as predominant phase, registered lowest peak force compared to 0.2 wt HMWCNT/epoxy laminates. CAI a decrease strength increased energy an increase weight percent HMWCNTs. Consequently, HMWCNT ladened could withstand higher load without undergoing deformations, exhibiting highest resistances due presence CNTs, which function load-bearing material. interleaved CF/E laminate samples subjected 25 J achieved maximum 9870.25 N 8527.26 for damaged at same level energies. This fact indicates not sufficiently high forces local instability arising from existing damages. strongly suggest potential HMWCNTs CF/epoxy making structural substructural components aircraft automobiles their proven superior properties.

Language: Английский

Citations

5

Impact of variable magnetic fields on bioconvection in Fe₃O₄–blood suspension under hyperthermia: Insights from Artificial Neural Network analysis DOI Creative Commons

Z. Z. Rashed,

Sameh E. Ahmed

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 117, P. 241 - 259

Published: Jan. 16, 2025

Language: Английский

Citations

0

Natural Fiber Composites: A Comprehensive Review on Machine Learning Methods DOI
Timothy K. Mulenga,

Sanjay Mavinkere Rangappa,

Suchart Siengchin

et al.

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Language: Английский

Citations

0

Intelligent framework for dual solutions of copper oxide nanoparticles suspension in thermally varied fluid reservoirs using the Koo–Kleinstreuer–Li (KKL) Model DOI
Muhammad Zeb, Muhammad Awais,

Asif Waheed

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 124, P. 435 - 445

Published: April 8, 2025

Language: Английский

Citations

0

Preparation and wastewater treatment performance of zeolite-modified ecological concrete DOI Creative Commons

Zhiwu Liu,

Xiaoyang Zhang, Shengzhi Lai

et al.

Open Chemistry, Journal Year: 2025, Volume and Issue: 23(1)

Published: Jan. 1, 2025

Abstract This study developed a zeolite-modified ecological concrete and investigated the effects of zeolite content particle size on its physical mechanical properties, as well degradation performance. Experimental results demonstrated that for given zeolite, an increase in led to higher compressive strength. Conversely, with constant content, strength blocks increased larger sizes. In water purification tests, reduction enhanced melanin removal rate. Specifically, when was 0.5–1 mm 20%, rate reached 62.4%. At this composition, efficacy optimal, their properties met necessary application standards.

Language: Английский

Citations

0

Computational modeling of predicting cerebrovascular injury in traumatic brain injury patients DOI Creative Commons

Joseph Amponsah,

Bruno Silvester Lopes,

Akosua Cobbina

et al.

Journal of Engineering Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

3

Tribological Performance of Graphene Oxide Reinforced PEEK Nanocomposites with Machine Learning Approach DOI Creative Commons

Yagnik Patel,

Unnati Joshi, Prince Jain

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103423 - 103423

Published: Nov. 15, 2024

Language: Английский

Citations

3

Intelligent visual question answering in TCM education: An innovative application of IoT and multimodal fusion DOI
Wei Bi,

Qingyu Xiong,

Xingyi Chen

et al.

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 118, P. 325 - 336

Published: Jan. 23, 2025

Language: Английский

Citations

0