DESIGN FOR ADDITIVE MANUFACTURING POST-PROCESSING: DEVELOPING GUIDELINES AND BEST PRACTICES FOR DIGITAL MANUFACTURING CHAINS

Abstract

Additive manufacturing, a transformative paradigm within modern manufacturing, holds the promise of intricate, efficient, and cost-effective production processes. This dissertation embarks on an in-depth exploration of additive manufacturing, addressing its multifaceted dimensions, challenges, and potential. The overarching objective is to synthesize pragmatic guidelines that optimize additive manufacturing practices from design to post-processing. The research commences with a comprehensive literature review that surveys the landscape of additive manufacturing, revealing gaps in understanding and knowledge. It proceeds to a series of experimental investigations, including case studies, designed to illuminate the complexities and advantages inherent in additive manufacturing. Guided by a mixed-method approach, the study delves into topics ranging from design considerations to post-processing methodologies, leveraging insights from industry collaboration. The culmination of this research is the formulation of comprehensive guidelines that navigate additive manufacturing's intricacies. These guidelines encompass design principles, printer selection, material utilization, and post-processing efficiency. While not universally exhaustive, they serve as robust decision-making tools, bridging the gap between theoretical knowledge and practical application. Contributions of this study extend to various industries, offering insights that foster additive manufacturing's effective integration. By addressing challenges specific to Design for Additive Manufacturing (DfAM) and Design for Additive Post-Processing (DfAPP), industries can navigate the complexities of additive manufacturing with greater precision. The guidelines proposed herein advocate a proactive approach, optimizing manufacturing practices for efficiency, cost-effectiveness, and product quality enhancement. Despite its contributions, this research acknowledges inherent limitations, including experimental constraints and the evolving nature of technology. Thus, future research avenues beckon, from advanced post-processing techniques to tailored guidelines for specific industries. As the additive manufacturing landscape evolves, ongoing research endeavors will be critical to ensuring that guidelines remain adaptive and effective. In essence, this dissertation encapsulates a journey through additive manufacturing's landscape, resulting in a set of guidelines that empower industries to leverage this transformative technology. As the manufacturing realm evolves into a digital era, characterized by precision and innovation, the guidelines proposed here stand as an essential compass, guiding industries toward optimal additive manufacturing practices.