Affiliation:
1. UiTM Shah Alam
2. Serba Dinamik Sdn Bhd
3. Research Center for Manufacture and Industrial Process Technology
4. Universitas Pembangunan Nasional Veteran
Abstract
This research investigates the part distortion of WAAM process by utilizing advanced numerical simulation. The WAAM component is made of a stainless steel SS316L deposition layer that is deposited on top of a mild steel S235 substrate plate to create a hollow, rectangular structure with a thin wall. In this study, Goldak's double-ellipsoid was used as the heat source model, and an isotropic hardening rule based on the von-Mises yield criterion was used. MSC Marc/Mentat is utilized as the numerical FE software for this research. The commercial S235 mild steel for substrate and the evolved SS316L was scanned by JMATPRO as the input for material modelling. In order to reduce the computational time of the numerical WAAM process, an Inherent Strain Method (ISM) is proposed for a numerical WAAM simulation in Marc. There are two ISM methods proposed for this study, the first is the analytical ISM based on the calculations and second is the calibration-based ISM using Virtual Calibration Test (VCT). On obtaining the ISM value based on the result of VCT, the mathematical software MATLAB were utilized to find the optimized ISM value. This research has a final purpose to determine which numerical simulation model that has a clear advantage on predicting the component deformation result in term of result accuracy as well as computational time. The expected final outcome of this study is the implementation of ISM method on numerical WAAM simulation is able to predict a part distortion in an accurate manner similar to TMM model with significantly faster computational time. Keywords: WAAM, Part Distortion, Numerical Simulation, Inherent Strain Method, Computational Time.
Publisher
Trans Tech Publications, Ltd.
Reference17 articles.
1. Bintao W, Pan Z, et al, "A review of the wire arc additive manufacturing for metals: properties, defects and quality improvement" in Journal of Manufacturing Process (2018). pp.128-139
2. W, Zhang C, Jin S, Tian Y, et al, "Wire arc additive manufacturing of stainless steel : a review," in MDPI. (2020). pp
3. Ali Abotiheen MH, "Finite element analysis is a powerful approach to predictie manufacturing parameters," in Journal of University of Babylon for Pure and Applied Sciences. (2017). pp. doi:
4. Srirekha A, Kussum B, "Infitinte to finite : an overview of finite element analysis," in Indian Journal of Research: Official Publication of Indian Society, 2010. pp
5. Qianru W, Mukherjee T, "Residual stresses and distortion in the patterned printing of titanium and dnicekl alloys" in Additive Manufacturing 29. (2019). DOI: