Journal SINTA 1
Tensile shear load in resistance spot welding of dissimilar metals: An optimization study using response surface methodology
Mechanical Engineering for Society and Industry · Vol. 3 No. 2 (2023) · pp. 66–77
- ISSN
- 2798-5245
- Published
- 2023-09-11
- Publisher
- Universitas Muhammadiyah Magelang
- Language
- en
Abstract
Resistance spot welding (RSW) is being applied extensively in different industries, specifically the automotive sector. Therefore, this study was conducted to optimize the tensile strength load (TSL) in RSW by investigating the application of dissimilar materials as input parameters. The optimization process involved the combination of different galvanized and non-galvanized steel materials. The production of car bodies using galvanized steel with approximately 13.0 microns thick zinc (Zn) coating was found to be a standard practice, but this zinc layer usually presents challenges due to the poor weldability. This study prepared 27 units of TSL samples using a spot-welding machine and a pressure force system (PFS) for the electrode tip. The aim was to determine the optimal TSL through the exploration of specified RSW parameters. The process focused on using the response surface methodology (RSM) to achieve the desired outcome while the Box-Behnken design was applied to determine the input parameters. The optimal TSL obtained was 5265.15 N by setting the squeeze time to 21.0 cycles at a welding current of 24.5 kA, a welding time of 0.5 s, and a holding time of 15.0 cycles. The highest TSL value recorded was 5937.94 N at 21.0 cycles, 27.0 kA, 0.6 s, and 15.0 cycles respectively. These findings were considered significant to the enhancement of productivity across industries, specifically in the RSW process. However, further study was required to investigate additional response variables such as the changes in hardness and microstructure.
Keywords
Collaboration network of the authors
40 authors · 115 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Halu Oleo
- University of Mataram
- International Islamic University, Islamabad
- Sam Ratulangi University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Wega Trisunaryanti | Affiliation unknown | 11 |
| Khoirudin khoirudin | Affiliation unknown | 8 |
| Yuli Prasetyo Adhi | Affiliation unknown | 5 |
| Muhyidin Muhyidin | University of Mataram | 4 |
| Amri Abdulah | Affiliation unknown | 4 |
| Nana Rahdiana | Affiliation unknown | 4 |
| Muhamad Taufik Ulhakim | Affiliation unknown | 4 |
| Tomas Irfani | Affiliation unknown | 4 |
| Afif Hakim | Affiliation unknown | 4 |
| Apang Djafar Shieddieque | Affiliation unknown | 3 |
| Dyah Ayu Fatmawati | Affiliation unknown | 3 |
| Rachmat Abdul Gani | Affiliation unknown | 3 |
| Nur Rahmawati | Affiliation unknown | 2 |
| Choirul Anwar | International Islamic University, Islamabad | 2 |
| Dede Ardi Rajab | Affiliation unknown | 2 |
| Yulfian Aminanda | Affiliation unknown | 2 |
| Cahyarani Paramesti | Affiliation unknown | 2 |
| Savitri Larasati | Affiliation unknown | 2 |
| Nugroho Raka Santoso | Affiliation unknown | 2 |
| Endah Suarsih | Affiliation unknown | 2 |
| Suwardi Suwardi | Affiliation unknown | 2 |
| Septa Primananda | Affiliation unknown | 2 |
| Herry Wirianata | Affiliation unknown | 2 |
| Yiyi Sulaeman | Affiliation unknown | 2 |
| Edi Yatno | Affiliation unknown | 2 |
| Jahidin Jahidin | Universitas Halu Oleo | 1 |
| Al Rubaiyn | Universitas Halu Oleo | 1 |
| Safilu Safilu | Affiliation unknown | 1 |
| Muhammad Yuris | Affiliation unknown | 1 |
| Muhammad Amir | Affiliation unknown | 1 |
| Muhammad Hasan Basri | Sam Ratulangi University | 1 |
| Muarifuddin Muarifuddin | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.