Review of advanced resistance welding technologies and control methods for joining state-of-the-art materials in lightweight and electric vehicle manufacturing

Podržaj, Primož (avtor), Klobčar, Damjan (avtor)

Resistance spot welding (RSW) remains a fundamental joining process in modern industrial manufacturing, particularly in the automotive sector. Ensuring consistent weld quality is critical, prompting the development and integration of various monitoring and control systems. This paper reviews the theoretical foundations of RSW and explores diverse control strategies from a control systems perspective. A comprehensive overview of contemporary quality assurance methods—including those leveraging artificial intelligence and machine vision—is provided. The paper also examines the evolving role of RSW in lightweight automotive design and the production of electric vehicles, where diverse materials and dissimilar metal combinations are increasingly common. To address the challenges of welding these advanced materials, state-of-the-art welding and joining technologies are discussed in detail.

• Jezik: Angleški jezik
• Ključne besede: artificial intelligence, control systems, machine vision, resistance spot welding, advanced joining technologies
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: Str. 23-32
• Številčenje: Vol. 50, no. 1
• PID: 20.500.12556/RUL-180344
• UDK: 621.791.763:004.85
• ISSN pri članku: 2620-0325
• DOI: 10.24867/ATM-2025-1-004
• COBISS.SI-ID: 270725891
• Datum objave v RUL: 06.03.2026

Gradivo je del revije

• Naslov: Advanced technologies and materials
• Založnik: Univerza Novi Sad, Fakultet tehničkih nauka
• ISSN: 2620-0325
• COBISS.SI-ID: 323825159

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: umetna inteligenca, sistemi krmiljenja, strojno učenje, uporovno točkovno varjenje, napredne tehnologije spajanja materialov