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Digital tool for cost analysis regarding production development and tender preparation - Focusing on metal cutting

Gapinski, Philip LU (2016) MMTM01 20161
Production and Materials Engineering
Abstract
It is of importance for manufacturing companies to get an overview of costs associated with production. This thesis handles this subject with an emphasis on chosen cutting data as well as chosen tools since this has a large impact of the tooling cost. By modelling on cutting data available from tool manufacturers, cutting data can be implemented to test different cases in the production. This also helps estimate the production cost as well as what the companies should sell their product for.
Cutting data modelling is done mostly by using Colding’s tool life equation, but also the Coromant turning model is studied. The results will provide the theoretical behavior of the cutting tool with the selected cutting data and this is used to... (More)
It is of importance for manufacturing companies to get an overview of costs associated with production. This thesis handles this subject with an emphasis on chosen cutting data as well as chosen tools since this has a large impact of the tooling cost. By modelling on cutting data available from tool manufacturers, cutting data can be implemented to test different cases in the production. This also helps estimate the production cost as well as what the companies should sell their product for.
Cutting data modelling is done mostly by using Colding’s tool life equation, but also the Coromant turning model is studied. The results will provide the theoretical behavior of the cutting tool with the selected cutting data and this is used to calculate the cost per part based on the tool engagement time.
The result is a digital tool written in Excel which serves as a basis for evaluation and estimation of a company’s manufacturing costs. The work order for using the tool, as well as developing it, is presented in the methodology segment of this thesis and the underlying theory regarding these microeconomic models are presented as well.
The results are presented in the form of Colding and Coromant constants for the
chosen workpiece material as well as a simplified table for the user to get an overview of the costs and their origin. Finally, some future areas for the study are presented and Colding graphs for the different tools modelled upon are presented in the appendix along with an example code for the modeling. (Less)
Please use this url to cite or link to this publication:
author
Gapinski, Philip LU
supervisor
organization
course
MMTM01 20161
year
type
H2 - Master's Degree (Two Years)
subject
report number
CODEN:LUTMDN/(TMMV-5282)/1-79/2016
language
English
id
8894740
date added to LUP
2016-11-08 11:17:49
date last changed
2016-11-08 11:17:49
@misc{8894740,
  abstract     = {It is of importance for manufacturing companies to get an overview of costs associated with production. This thesis handles this subject with an emphasis on chosen cutting data as well as chosen tools since this has a large impact of the tooling cost. By modelling on cutting data available from tool manufacturers, cutting data can be implemented to test different cases in the production. This also helps estimate the production cost as well as what the companies should sell their product for.
Cutting data modelling is done mostly by using Colding’s tool life equation, but also the Coromant turning model is studied. The results will provide the theoretical behavior of the cutting tool with the selected cutting data and this is used to calculate the cost per part based on the tool engagement time.
The result is a digital tool written in Excel which serves as a basis for evaluation and estimation of a company’s manufacturing costs. The work order for using the tool, as well as developing it, is presented in the methodology segment of this thesis and the underlying theory regarding these microeconomic models are presented as well.
The results are presented in the form of Colding and Coromant constants for the
chosen workpiece material as well as a simplified table for the user to get an overview of the costs and their origin. Finally, some future areas for the study are presented and Colding graphs for the different tools modelled upon are presented in the appendix along with an example code for the modeling.},
  author       = {Gapinski, Philip},
  language     = {eng},
  note         = {Student Paper},
  title        = {Digital tool for cost analysis regarding production development and tender preparation - Focusing on metal cutting},
  year         = {2016},
}