1. Leveraging Additive Manufacturing and Engineering Design Methods to Improve Ballet Pointe Shoes Open Access Author: Nicolich, Keri Title: Leveraging Additive Manufacturing and Engineering Design Methods to Improve Ballet Pointe Shoes Area of Honors: Industrial Engineering Keywords: Pointe shoesAdditive ManufacturingPrototypingHuman-Centered Design3D printingFinite Element Analysis (FEA)Compliant MechanismBalletEngineering Design File: Download Nicolich_Keri_Leveraging_Additive_Manufacturing_and_Engineering_Design_Methods_to_Improve_Ballet_Pointe_Shoes__.pdf Thesis Supervisors: Jessica Dolores Menold, Thesis SupervisorSanjay Joshi, Thesis Honors Advisor
2. Design and development of PLA clave prototypes as alternatives to wooden claves Open Access Author: Evans, Emmeline Title: Design and development of PLA clave prototypes as alternatives to wooden claves Area of Honors: Mechanical Engineering Keywords: 3D printingpercussion instrumentclave3D printed instruments3D printed claves File: Download Emmeline_Evans_THESISREVISIONwvita.pdf Thesis Supervisors: Chris Mc Comb, Thesis SupervisorBo Cheng, Thesis Honors Advisor
3. Designing 3D Printed Metamaterials with MOLACO Open Access Author: Cummings, Natalie Title: Designing 3D Printed Metamaterials with MOLACO Area of Honors: Materials Science and Engineering Keywords: MOLACOmetamaterialslow refractive indexzero refractive indexoptimization algorithmMATLABVisualBasicHFSS3D printing File: Download Natalie_Cummings_Thesis_Schreyer_Final_Revised_NoComments.pdf Thesis Supervisors: Douglas Henry Werner, Thesis SupervisorRobert Allen Kimel, Thesis Honors Advisor
4. Topology Optimized Design of a 3D Printed Multi-Material Compliant Gripper Mechanism for Effective Manipulation of Small Components Open Access Author: Xu, Dongxuan Title: Topology Optimized Design of a 3D Printed Multi-Material Compliant Gripper Mechanism for Effective Manipulation of Small Components Area of Honors: Mechanical Engineering Keywords: MATLAB codetopology optimizationmulti-materialcompliant gripper mechanism3D printing File: Download Dongxuan_Xu_-_Honors_Thesis.pdf Thesis Supervisors: Timothy W. Simpson, Thesis SupervisorJean-Michel Mongeau, Thesis Honors Advisor
5. Utilizing Deep Learning and Computer Vision to Detect Defects in a 3D Printed Product in a Manufacturing Environment Open Access Author: Farkas, Alyson Title: Utilizing Deep Learning and Computer Vision to Detect Defects in a 3D Printed Product in a Manufacturing Environment Area of Honors: Letters, Arts, and Sciences (Abington) Keywords: transfer learningdeep learning3D printingrobot armmanufacturing defectsblemish detectionMATLABneural networkquality assuranceroboticsengineeringcomputer visionartificial intelligence File: Download Farkas_Alyson_Thesis_.pdf Thesis Supervisors: Robert Louis Avanzato, Thesis SupervisorDave Ruth, Thesis Honors Advisor
