An experimental investigation on the effect of gas tungsten arc welding current modes upon the microstructure, mechanical, and fractography properties of welded …

M Sabzi, SHM Anijdan, ARB Chalandar, N Park… - Materials Science and …, 2022 - Elsevier
In this investigation, dissimilar welded joints of AISI 316 L and AISI 310S stainless steels
were produced using continuous and pulsed modes current of the gas tungsten arc welding …

3D printing of acrylonitrile butadiene styrene by fused deposition modeling: Artificial neural network and response surface method analyses

M Moradi, R Beygi, N Mohd. Yusof, A Amiri… - Journal of Materials …, 2023 - Springer
Additive manufacturing of acrylonitrile butadiene styrene (ABS) was investigated based on
statistical analysis via an optimization method. The present article discusses the influence of …

A multi-objective teaching–learning studying-based algorithm for large-scale dispatching of combined electrical power and heat energies

S Sarhan, A Shaheen, R El-Sehiemy, M Gafar - Mathematics, 2022 - mdpi.com
This paper proposes a multi-objective teaching–learning studying-based algorithm
(MTLSBA) to handle different objective frameworks for solving the large-scale Combined …

Enhancing slope stability prediction using fuzzy and neural frameworks optimized by metaheuristic science

MA Mu'azu - Mathematical Geosciences, 2023 - Springer
Recently, machine learning models have acted as effective tools for slope stability analysis.
But due to the crucial significance of this issue, reaching a reliable accuracy is necessary …

Microlens array through induction-aided hot embossing: fabrication, optimization, and characterization

SS Deshmukh, A Goswami - Materials and Manufacturing …, 2022 - Taylor & Francis
In the present work, an induction-aided hot embossing (IHE) setup was developed in-house,
to reduce the time required for embossing. Using the setup, a micro-lens array was …

Enhanced teaching learning-based algorithm for fuel costs and losses minimization in ac-dc systems

S Sarhan, AM Shaheen, RA El-Sehiemy, M Gafar - Mathematics, 2022 - mdpi.com
The Teaching Learning-Based Algorithm (TLBA) is a powerful and effective optimization
approach. TLBA mimics the teaching-learning process in a classroom, where TLBA's …

Optimization investigation of parameters for spot-welding of AA2014 and AISI316 dissimilar alloys

Saravanan, U Joshi, AY Joshi, S Thakor - Welding International, 2024 - Taylor & Francis
The objective of the research was to determine the exact process parameters required for
spot-welding AA2014 and AISI316 alloys. The main focus was on achieving particular …

Metaheuristic optimization and computational investigation of resistance spot welding process parameter employing Jaya, TLBO and Rao-II algorithm

V Gurav, D Shrivastava - International Journal on Interactive Design and …, 2024 - Springer
Resistance spot welding (RSW) is a widely used metal joining process in the automotive
industry. Significant challenges associated with RSW in automotive industries are weld …

Energy-Environment evaluation and Forecast of a Novel Regenerative turboshaft engine combine cycle with DNN application

M Alibeigi, M Sabzehali - arXiv preprint arXiv:2209.12020, 2022 - arxiv.org
In this integrated study, a turboshaft engine was evaluated by adding inlet air cooling and
regenerative cooling based on energy-environment analysis. First, impacts of flight-Mach …

Investigation of electrode pressure parameter on mechanical properties and microstructural characteristics of spot welded DP800 steel joints

C Rajarajan, P Sivaraj, S Raja… - Metallurgical …, 2022 - metallurgical-research.org
This investigation details the effect of electrode pressure on mechanical behavior and
microstructural characteristics of Resistance Spot Welded (RSW) DP800 steel joints. The …