Sold out

Metrological System for Perceived Quality Parameters to Establish Transfer Functions to Human Perception

English · Paperback / Softback

Description

Read more

The understanding of quality is extended in the past years from a purely functional driven quality term to the quality as perceived by the customer. In this thesis a methodology is introduced to reproducibly measure and investigate the customer relevant quality perception of vehicle interiors. To achieve this, a holistic metrology has been developed to measure the attributes and physical parameters, which are important for the Perceived Quality of vehicle interiors. The metrology has to fulfill mobility, modularity and flexibility requirements. To enable a later correlation to human perception, special emphasis is put on an adaption of the metrology to human physiology. Main part is a robot system with free programmable force-travel and torque-angle measurement capabilities. One objective has been to conduct the measurements on a test rig as well as in the vehicle interior. Due to the variety of the covered, partly new established, metrologies the project is called 'Perceived Quality Toolbox'. The correlation of the gathered data to human perception is carried-out with appropriate statistical processes and the respective transfer functions are established in various validation projects.

Product details

Authors Mark René Spingler
Publisher Apprimus Verlag
 
Languages English
Product format Paperback / Softback
Released 28.02.2015
 
EAN 9783863590376
ISBN 978-3-86359-037-6
No. of pages 236
Dimensions 150 mm x 212 mm x 13 mm
Weight 436 g
Subject Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.