Misconception 1: Generative Design is Only for Complex Shapes
While it is true that generative design can produce intricate geometries, it is also highly effective for optimizing simpler designs to enhance performance and reduce material usage.

Misconception 2: Topology Optimization is Too Time-Consuming
Advancements in CAD software and computational power have significantly reduced the time required for topology optimization.

Misconception 3: 3D Printing is Not Suitable for Mass Production
While 3D printing is often associated with prototyping and small batch production, it is increasingly being used for mass production. Techniques such as selective laser sintering (SLS) and multi-jet fusion (MJF) enable the efficient production of large quantities of parts with consistent quality. Generative design and topology optimization further enhance this by creating designs that are specifically optimized for 3D printing, reducing material waste and production time.

Misconception 4: High Costs of Implementation
Benefits such as material savings, improved performance, and faster time-to-market often outweigh the costs. Additionally, the continuous advancement and adoption of these technologies are driving costs down.

Misconception 5: Limited Material Choices
Today, a wide range of materials, including metals, polymers, and composites, are available for 3D printing, many of which are specifically designed to meet stringent industrial standards. Generative design and topology optimization can further enhance the properties of these materials by designing parts that make the best use of their strengths