Tobias Wagner of LMD emphasizes that successful additive manufacturing implementation relies on understanding and optimizing the process before focusing on the component itself.
In a recent interview, Tobias Wagner, representing LMD (Laser Metal Deposition), highlighted a fundamental shift in approach for successful additive manufacturing (AM) adoption. Wagner argues that the conventional focus on designing a part for AM should be secondary to a deep understanding and mastery of the additive process itself.
He explained that by prioritizing the process, companies can better identify the most suitable AM technologies for their specific needs. This includes thoroughly evaluating factors such as material properties, deposition rates, achievable accuracies, and the overall cost-effectiveness of a given method. Wagner suggests that this process-centric view allows for more informed decisions regarding technology selection and investment.
Wagner further elaborated that once the process is well-understood and optimized, designing components specifically for AM becomes more straightforward and yields better results. This approach helps avoid common pitfalls where parts are simply redesigned from subtractive methods without fully leveraging the unique capabilities of additive manufacturing. He advocates for a holistic view that integrates process development with part design from the outset.
Ultimately, Wagner's perspective suggests that a robust and repeatable additive manufacturing strategy is built upon a strong foundation of process knowledge. This, in turn, unlocks the full potential of AM for creating innovative and efficient components across various industries.
Wagner's emphasis on process-first for AM is crucial. It aligns with the industry's move towards robust, scalable manufacturing rather than just prototyping. Understanding process parameters is key for achieving material property consistency, essential for critical applications in aerospace and automotive, and for enabling in-situ manufacturing on space missions where reliability is paramount.
Edited by the news editor with AI and translated into English from the original report — please refer to the original source.