DESIGN OF EXPERIMENTS AND OPTIMIZATION OF MACHINING PROCESSES | Mechanical Engineering Monograph

Fatlume Zhujani

ISBN 10: 6207466101 / ISBN 13: 9786207466108

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

DESIGN OF EXPERIMENTS AND OPTIMIZATION OF MACHINING PROCESSES | Mechanical Engineering Monograph | Fatlume Zhujani | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207466108 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 129128812

Bibliographic Details

• Title: DESIGN OF EXPERIMENTS AND OPTIMIZATION OF MACHINING PROCESSES | Mechanical Engineering Monograph
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 6207466101
• ISBN 13: 9786207466108
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 119 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Initially, the monograph book introduces the reader to some basic information on DOE and the statistical tools that are associated with them. The methodology and design of Taguchi's experiment are covered in detail in the next section.However, the primary focus of this book pertains to the strategic organization of experimental investigations that seek to establish and validate connections and correlations among experimental variables.An important part of experimental design is coming up with hypotheses, controlling the experiment, naming the independent and dependent variables, choosing a sample or participants and assigning them to conditions, collecting data, and choosing valid statistical tests.By employing accurate empirical measurement and control, an experimental design enhances the capacity of a researcher to ascertain causal relationships and formulate causal inferences.There are also general guidelines and suitable procedures to help with the implementation of DOE approaches, which can help identify the best process settings and conditions.Furthermore, monography delves into the analysis of experimental data and the interpretation of results, emphasizing the criticality.