Articles via Databases
Articles via Journals
Online Catalog
E-books
Research & Information Literacy
Interlibrary loan
Theses & Dissertations
Collections
Policies
Services
About / Contact Us
Administration
Littman Architecture Library
This site will be removed in January 2019, please change your bookmarks.
This page will redirect to https://digitalcommons.njit.edu/theses/1339 in 5 seconds

The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Statistical process control for high precision deep drawn sheet metal parts
Author: Shah, Sunil S.
View Online: njit-etd1990-017
(viii, 107 pages ~ 4.0 MB pdf)
Department: Manufacturing Engineering Division
Degree: Master of Science
Program: Manufacturing Engineering
Document Type: Thesis
Advisory Committee: O'Brien, Keith T. (Committee chair)
Sodhi, R. S. (Committee member)
Levy, Nouri (Committee member)
Date: 1990
Keywords: Manufacturing processes--Quality control--Data processing.
Manufacturing processes--Quality control.
Metal-work--Quality control--Data processing.
Metal-work--Quality control.
Availability: Unrestricted
Abstract:

In today's world, industrial expertise has come to be judged in terms of the quality of the product. Good quality has become the ultimate aim in a manufacturing environment, which leads to many innovations for ease in the inspection of parts. In considering a metal working company like Hudson Tool & Die Company, a study of the various operations and the application of Statistical Process Control to the forming operations is performed using STORM software. Important characteristics have been carefully studied with regards to metal forming like uniform metal thickness, radius of the bend, depth of the drawing operation. In-depth analysis was performed on the pattern, and the cause of the variations. Various control charts such as average chart, range chart and p chart were obtained and different processes were studied. Computer aided quality control is fast becoming a standard in the manufacturing world. Non-contact gaging, coordinate measuring machines, and automatic conversion of the data into useful information are noteworthy and hence have been mentioned.


If you have any questions please contact the ETD Team, libetd@njit.edu.

 
ETD Information
Digital Commons @ NJIT
Theses and DIssertations
ETD Policies & Procedures
ETD FAQ's
ETD home

Request a Scan
NDLTD

NJIT's ETD project was given an ACRL/NJ Technology Innovation Honorable Mention Award in spring 2003