Non-contact approach of roundness inspection for machined parts / Azmi Mohamed

Mohamed, Azmi (2014) Non-contact approach of roundness inspection for machined parts / Azmi Mohamed. In: The Doctoral Research Abstracts. IPSis Biannual Publication, 5 (5). Institute of Graduate Studies, UiTM, Shah Alam.

Abstract

The geometrical tolerance verification of machined part is a process composed of a set of inspection procedures and rules that are complex, tedious and slow. The methods and instruments used to inspect geometrical tolerance of the parts are quite conventional and require a high skill and knowledge to assess the quality of the machined parts. For this reason, this research develop a method to effectively perform the inspection process by recommending non-contact approach using machine vision and new simple mathematical models that can be used for the creation of an inspection system to assist in the verification of an important form tolerance of machined parts. The main goal of this research is to develop method and procedure of roundness measurement that are simple to implement but at the same time is fast and effective to provide reliable technique that help the metrologist to make evaluation for the inspected parts.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohamed, Azmi
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses > Malaysia
Divisions: Universiti Teknologi MARA, Shah Alam > Institut Pengajian Siswazah (IPSis) : Institute of Graduate Studies (IGS)
Series Name: IPSis Biannual Publication
Volume: 5
Number: 5
Keywords: Abstract; Abstract of thesis; Newsletter; Research information; Doctoral graduates; IPSis; IGS; UiTM; machined part
Date: 2014
URI: https://ir.uitm.edu.my/id/eprint/19205
Edit Item
Edit Item

Download

[thumbnail of ABS_AZMI MOHAMED TDRA VOL 5 IGS_14.pdf]
Preview
Text
ABS_AZMI MOHAMED TDRA VOL 5 IGS_14.pdf

Download (513kB) | Preview

ID Number

19205

Indexing

Statistic

Statistic details