Navigating urban congestion: Optimizing LSTM with RNN in traffic prediction DOI
Surjeet Dalal,

Vivek Jaglan,

Akshat Agrawal

et al.

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3217, P. 030005 - 030005

Published: Jan. 1, 2024

Language: Английский

Supervised Machine learning models for predicting mechanical properties of dissimilar friction stir welded AA7075-AA5083 aluminum alloys DOI
Meghavath Mothilal, Atul Kumar

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116653 - 116653

Published: Jan. 1, 2025

Language: Английский

Citations

0
Adaptive Multigrid Long Short-Term Memory Algorithm for Improved Air Quality Forecasting DOI

G. Shanmugasundar,

Janjhyam Venkata Naga Ramesh,

B. Murali

et al.

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 267 - 282

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimization of welding strength in the tungsten inert gas welding process for aluminium alloys DOI Creative Commons
Amit Gupta, Rajeev Ranjan, Róbert Čep

et al.

Frontiers in Mechanical Engineering, Journal Year: 2025, Volume and Issue: 11

Published: May 23, 2025

Aluminium alloys, particularly AA 6065 T6, are widely used in automotive components such as coolers and radiators due to their excellent strength-to-weight ratio corrosion resistance. However, welding these alloys presents significant challenges, the weld joints prone thermal stresses, leading defects eventual failure. To address this issue, optimizing PCTIG (Pulsed Current Tungsten Inert Gas) process parameters is crucial for achieving superior mechanical properties, tensile strength. This study investigates influence of peak current, base frequency on strength T6 aluminium alloy with varying thicknesses (3 mm, 6 10 mm). Regression models developed predict across factorial space, ANOVA applied assess significance each parameter. Experimental results identify optimal strengths 179.50 MPa, 188.92 201.22 MPa 3 mm thick materials, respectively, set at 180 A 60 2 Hz frequency. Validation through simulation software corroborates findings, confirming effectiveness optimized producing defect-free, high-strength suitable applications.

Language: Английский

Citations

0
Influence of tool traverse speed on mechanical properties and fracture morphology of friction stir welded pure copper butt joints DOI
Puspendu Chandra Chandra, Arpan Kumar Mondal, N. Yadaiah

et al.

Journal of Adhesion Science and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Oct. 8, 2024

The key goal of this research was to study the effect traverse speed a tool on microstructural changes, mechanical properties and fracture morphology pure copper butted weld joint by friction stir welding technique. In study, other parameters like rotational (1000 rpm), axial force (4.2 kN), tilt angle (0˚) offset (0 mm) were fixed. A cylindrical with non-threaded tapered pin used fabricate joints. All joints produced varying speeds (11, 20 24 mm min−1) defect-free. It noticed that grains in zone tiny, well distributed homogeneous at min−1 owing adequate heat generation complete intermixing material zone. utmost tensile strength 187 MPa achieved welded attained min−1. observed densely populated dimple structure enhances ductility case

Language: Английский

Citations

3
Optimization of Joint Strength in Friction Stir Welded Wood Plastic Composites Using ANFIS and Cheetah Optimizer DOI Creative Commons
Ammar H. Elsheikh,

Mohamad Elmiligy,

Ahmad Alkassas

et al.

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

3
Intelligent Manufacturing in Aerospace: Integrating Industry 4.0 Technologies for Operational Excellence and Digital Transformation DOI
Vineet Bhatia, Sumati Sidharth, Sanjeev Kumar Khare

et al.

Springer series in advanced manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 389 - 434

Published: Jan. 1, 2024

Language: Английский

Citations

2
Exploring the Challenges of Integrating Lean Green Practices in Industry 4.0 Manufacturing Frameworks: An Empirical Study DOI
Rajesh Kumar, Rajender Kumar,

Ashwini Kumar

et al.

Springer series in advanced manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 277 - 292

Published: Jan. 1, 2024

Language: Английский

Citations

2
Digital Twin Integration for Enhanced Control in FDM 3D Printing DOI
Sourabh Anand,

Manoj Kumar Satyarthi,

Pushpendra S. Bharti

et al.

Springer series in advanced manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 373 - 388

Published: Jan. 1, 2024

Language: Английский

Citations

1
Progressive Automation: Mapping the Horizon of Smart Manufacturing with RoboDK Workstations and Industry 4.0 DOI
Mukul Kumar, Sourabh Anand, Pushpendra S. Bharti

et al.

Springer series in advanced manufacturing, Journal Year: 2024, Volume and Issue: unknown, P. 335 - 354

Published: Jan. 1, 2024

Language: Английский

Citations

1
Automation in Friction Stir Welding: A New Era of Fabrication Techniques DOI
Meghnath Sen,

Asit Baran Puri

Published: Jan. 1, 2024

Language: Английский

Citations

1