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Develops an iterative Design for Additive Manufacturing process for military equipment, suggesting enhanced performance alignment with soldier needs.
Individualisation in military equipment aims to improve performance by aligning design with soldier-specific needs. Existing DfAM methodologies lack structured integration of user variability and iterative evaluation in defence contexts. This study develops an iterative DfAM process linking anthropometric input, additive strategy, constraints, and performance assessment. Demonstrated through a helmet liner case, three iterations addressed geometry, manufacturability, and impact-response behaviour within regulatory limits.
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Biswas et al. (2026) studied this question.
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