Graduate Thesis Or Dissertation

 

Robotic Machining Fundamentals for Casting Defect Removal Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/x346d768j

Descriptions

Attribute NameValues
Creator
Abstract
  • In the past half century, industrial robots have developed a strong presence in manufacturing. They now commonly perform tasks such as materials handling, assembly, welding, and painting. Unfortunately robotic machining tasks have seen limited deployments. The majority of machining robots are designed for soft materials like wood or plastic and only apply repetitive cutting trajectories to create a particular geometry. The current systems fail to work for less predictable tasks with harder materials. In response, this thesis presents a novel robotic machining system for casting defect removal. Removing defects from metal castings requires flexibility to a high variance in workpiece geometry, defect locations, and defect geometry. With the proposed methods, a six-axis industrial robot arm efficiently maneuvers custom tools between sorted target locations. It applies surface-aligned custom tool paths to localized surfaces, producing cut geometries appropriate for post-removal welding. The final system serves as the basis for a full-scale application that will reduce human error and injury and improve the efficiency and effectiveness of casting manufacturing.
License
Resource Type
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2016-10-06T19:55:37Z (GMT) No. of bitstreams: 1BiedermanMoriahF2016.pdf: 17367762 bytes, checksum: 1149972d9efc2d9e090b7a1d6b220140 (MD5)
  • description.provenance : Made available in DSpace on 2016-10-06T19:55:37Z (GMT). No. of bitstreams: 1BiedermanMoriahF2016.pdf: 17367762 bytes, checksum: 1149972d9efc2d9e090b7a1d6b220140 (MD5) Previous issue date: 2016-09-13
  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2016-10-06T16:55:56Z (GMT) No. of bitstreams: 1BiedermanMoriahF2016.pdf: 17367762 bytes, checksum: 1149972d9efc2d9e090b7a1d6b220140 (MD5)
  • description.provenance : Submitted by Moriah Biederman (biedermm@oregonstate.edu) on 2016-10-04T01:12:42ZNo. of bitstreams: 1BiedermanMoriahF2016.pdf: 17367762 bytes, checksum: 1149972d9efc2d9e090b7a1d6b220140 (MD5)
Embargo date range
  • 2017-08-16 to 2018-10-06

Relationships

Parents:

This work has no parents.

In Collection:

Items