Professional practice
Additive application judgment
Understanding the operating problem, establishing realistic expectations, and connecting design, process, material, and production decisions.
- My role
- Application discovery, technical direction, DFAM, validation, and production planning
- Evidence
- Generalized professional experience
- AI involvement
- None. The work is based on engineering and production judgment.
This case study explains how I approach additive applications and why access to a printer is not enough to create a successful result. The goal is to show the judgment involved in understanding an application, selecting a suitable process, guiding the design, and developing a production plan that can be repeated reliably.
I begin by understanding the problem from mechanical, logistical, and financial perspectives. This helps narrow the technology and material requirements before design decisions become fixed. Customers do not always explain the full application context or the assumptions behind a request, so I use formally trained SPIN Selling methods and technical investigation to bring the important factors forward.
Once a process is selected, DFAM becomes critical. Designers need to understand how their requirements translate into a physical part and where the selected technology has strengths or limitations. Sample parts and concept validation help establish a baseline for expectations, particularly when someone is comparing additive results with traditional manufacturing or an earlier experience with entry-level FDM.
Technical direction and the production plan matter because the printer alone does not determine the outcome. As in traditional manufacturing, build setup, orientation, nesting, support strategy, processing, cleaning, finishing, handling, and inspection can affect the result in different ways.
Questions I consider
- Can the design be nested, supported, washed, sintered, cured, or finished reliably?
- Which dimensions or surfaces require inspection?
- How will material behaviour affect the result?
- Does the quantity suit the process?
- Can the production team repeat the work without relying on undocumented knowledge?
A generalized application example
Across several manufacturing applications, customers had initially limited their options because earlier FDM experience shaped what they expected from additive manufacturing. In one recurring type of assembly-line application, warping and dimensional problems were caused by a combination of technology selection, design gaps, and print setup.
I helped improve the existing FDM application temporarily through print optimization, then facilitated evaluation of HP MJF through concept validation, design input, sample production, and continued customer education. The customer helped clarify the operating requirements and the assumptions behind the original decision. My production team executed the plan developed for the application.
The result was a more successful part and a transition away from a project that was close to being abandoned. Improved confidence in the application also supported wider consideration of additive manufacturing.