Lightweight Plastic Gear Body using Gyroid Structure for Additive Manufacturing

Preventive Maintenance Schedule for Gear Manufacturing Shop Using Genetic Algorithm

The Genetic Algorithm (GA) has been used widely to solve an array of combinatorial optimization problems such as the traveling salesman problem, the job-shop scheduling problem, the quadratic assignment problem, and production planning problems. On the other hand, solving the problem of Preventive Maintenance (PM) scheduling for a group of non-identical machines using a GA is a relatively new t...

Support structure constrained topology optimization for additive manufacturing

Background: With recent advances in additive manufacturing (AM) and topology optimization (TO), there is a significant interest in integrating the two fields [1]. Although TO and AM have flourished independent of each other, there is significant interest today in integrating them for two primary reasons: (1) Designs stemming from TO are geometrically complex, and therefore hard to manufacture u...

14 Lightweight Plastic Materials

Additive Manufacturing Defect Detection using Neural Networks

Currently defect detection in additive manufacturing is predominately done by traditional image processing, approximation, and statistical methods. Two important aspects of defect detection are edge detection and porosity detection. Both problems appear to be good candidates to apply machine learning. This project describes the implementation of neural networks as an alternative method for defe...

Implicit modeling for additive manufacturing

Additive Manufacturing (AM) technology distinguishes itself from more traditional fabrication processes by several significant factors. It allows the creation of objects with complex geometry that would not be possible by subtractive manufacturing or molding. Additionally, 3d printers are of much simpler use than other tools. Finally, since the cost per objects does not change depending on the ...