Optimization and modelling of process parameters for single pass plasma arc welded steel using response surface methodology
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Ijaz Hussain Malik
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Hafiz Muhammad Abdullah
Abstract
The cost-effective and qualified weld is a primary requirement in fabrication of SS316 structural applications. Thin sheets of this material, characterized by a very thin invisible anti corrosive oxide film of Chromium and Molybdenum on the surface, require low heat input and optimized process parameters to avoid burn through during welding and to achieve the qualified weld. These facts have made it challenging to produce a qualified weld joint of this material by plasma arc welding. In this study process parameters for single pass plasma arc welding of austenitic stainless steel 316 are optimized by using response surface methodology (RSM). A key-hole mode plasma arc welding (PAW) is used to weld the square butt 2 mm thick plates of SS 316 without filler wire to reduce the cost. A regular two-level trail experiments designed by Design-Expert® software were conducted to establish lower and upper limit values of the input variables and their output responses. The welding current of 100 Amp, voltage of 24 V, speed of 300 mm/min and back shielding gas flow rate of 20 L/min are determined to be optimized values of process parameters, which achieved the adequate values of responses; front bead height, front bead width, penetration height and back penetration width ensuring the qualified weld. Moreover, an empirical mathematical model for predicting responses is constructed and the coefficients are determined using regression analysis. The adequacy of developed model is verified by analysis of variance (ANOVA) and is validated against experimental results.
Acknowledgments
The authors would like to acknowledge Dr. Syed Sahab Khusnood from Wah Engineering College, Punjab, Pakistan for his guidance and support.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contributions: The authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Ijaz Hussain Malik. The first draft of the manuscript was written by Ijaz Hussain Malik and Hafiz Muhammad Abdullah. The draft was reviewed and edited by Hafiz Muhammad Abdullah and Hafiz Muhammad Ubaidullah. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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Artikel in diesem Heft
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Artikel in diesem Heft
- Frontmatter
- Research Articles
- Numerical investigation of superheating secondary flow on performance of steam ejector by considering non-equilibrium condensation in renewable refrigeration cycle
- Analysis of pressure drop, energy requirements, and entropy generation in natural gas pipelines at dense and pseudo-dense phases: a CFD study
- Random Forest model for precise cooling load estimation in optimized and non-optimized form
- Energy recovery from mechanical energy of high-pressure natural gas pipeline: a case study simulation
- A numerical simulation of nucleate boiling of water on inclined and rough surfaces
- Optimization and modelling of process parameters for single pass plasma arc welded steel using response surface methodology
- Forecasting gasification process results via radial basis function optimization schemes
- Machine learning approaches for predicting syngas production in biomass gasification
