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David H Jenuwine29434 Park St, Roseville, MI 48066

David Jenuwine Phones & Addresses

29434 Park St, Roseville, MI 48066    586-7791539   

Sterling Heights, MI   

Social networks

David H Jenuwine

Linkedin

Work

Company: Paragon technologies - Warren, MI Dec 2011 Position: Hydraulic technician

Education

School / High School: Clintondale High School MI Specialities: High school diploma in General

Industries

Machinery

Mentions for David H Jenuwine

David Jenuwine resumes & CV records

Resumes

David Jenuwine Photo 9

Assembly

Location:
Sterling Heights, MI
Industry:
Machinery
Work:
Detroit Hoist & Crane Co., Llc
Assembly
Paragon Technologies, Inc. Dec 2011 - Jan 2013
Hydraulic Technician
Attica Hydraulic Exchange 1999 - 2009
Hydraulic Technician
David Jenuwine Photo 10

David Jenuwine - Sterling Heights, MI

Work:
Paragon Technologies - Warren, MI Dec 2011 to Jan 2013
Hydraulic Technician
All About Hydraulics - Chesterfield, MI Aug 2010 to Nov 2011
Hydraulic Technician/ Test stand operator
Acuseal Inc - Charter Township of Clinton, MI Feb 2010 to Aug 2010
Shipping and Receiving/ Customer Service
Attica Hydraulics - Chesterfield, MI Aug 1999 to Feb 2009
Hydraulic Technician
Education:
Clintondale High School MI
High school diploma in General

Publications & IP owners

Us Patents

Laser Weld Fault Detection System

US Patent:
5121339, Jun 9, 1992
Filed:
Aug 16, 1990
Appl. No.:
7/568499
Inventors:
David J. Jenuwine - Utica MI
Jacob N. George - Sterling Heights MI
Assignee:
General Motors Corporation - Detroit MI
International Classification:
G01N 2914
B23K 2600
US Classification:
364507
Abstract:
An on-line, non-destructive method and apparatus monitors a welding process and detects faulty welds by analyzing the average frequency of the airborne radiation emitted from a weld during the welding process. A sequence of measured average frequency values corresponding to sequential blocks of time during the weld are individually compared to a predetermined frequency threshold value. Overall weld integrity is discerned by comparing the number of average frequency values exceeding the threshold value to the number of average frequency values not exceeding the threshold value.

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