Tahany Ibrahim El-Wardany

Design and topology/shape structural optimisation for additively manufactured cold sprayed components

Integrating advanced structural optimisation, such as topology optimisation (TO), with additive manufacturing (AM) allows design and fabrication of extremely efficient and effective components. Such integration is challenging because characteristics can vary from process to process. In this paper, designing and optimising a part for the cold spray AM process is demonstrated. Cold spray process characteristics and constraints are enforced throughout. The analysis shows a tradeoff between stress and mass, but the combined process delivers a structure at much lower stress (up to 3X reduction in peak stress in a case study) with the capability to be much lighter than the original part (case study: 20% reduction in weight). The general approach to specifying design guidelines, interpreting TO results, and applying other structural optimisation methods is directly applicable to many AM processes – and especially other spray deposition techniques – in addition to cold spray.

A Multi-Scale, Multi-Physics Optimization Framework for Additively Manufactured Structural Components

This paper proposes an optimization framework enabling the integration of multi-scale / multi-physics simulation codes to perform structural optimization design for additively manufactured components. Cold spray was selected as the additive manufacturing (AM) process and its constraints were identified and included in the optimization scheme. The developed framework first utilizes topology optimization to maximize stiffness for conceptual design. The subsequent step applies shape optimization to refine the design for stress-life fatigue. The component weight was reduced by 20% while stresses were reduced by 75% and the rigidity was improved by 37%. The framework and analysis codes were implemented using Altair software as well as an in-house loading code. The optimized design was subsequently produced by the cold spray process.