Managing Product Performance through Design Engineering: Condition Monitoring in Automated Organisations

Research output: Contribution to journalArticle

Abstract

Despite impressive advances in automated production technology, manufacturing industry is still heavily reliant on conventional processes, particularly in processes designed for materials removal in which controlled shearing of the work-piece occurs. Such processes typically involve the use of automated computer controlled machining centers, which, in principle, are capable of sustained periods of unattended operation. However, the quality of the finished product, in terms of its conformance to dimensional and surface finish requirements as specified in the design, is strongly dependent upon the condition of the cutting tools used. A number of tool life management systems have been designed and engineered and are employed in production environments today, but these are usually based on expired life criteria and are of limited applicability. Crucially, in the context of increasing product life cycles, the disguarding of tools earlier than may be necessary is wasteful, expensive and inconsiderate to the environment. More sophisticated designs do exist, typically based on advanced technologies, such as acoustic emission or spindle torque sensors, for dynamically sensing tool condition during operation. Such systems are potentially more useful but still only indicate that some aspect of the cutting process has changed and usually require human intervention. This paper thus addresses the need for better control of production processes with the objective of increased operating efficiency based on reducing waste and improving the product life cycle. The work reported here is primarily concerned with the design and application of prototype intelligent systems for automated tool management.
Original languageEnglish
Pages (from-to)147-159
Number of pages13
JournalDesign Principles and Practices: An International Journal
Volume3
Issue number4
Publication statusPublished - 2009

Fingerprint

Condition monitoring
Life cycle
Machining centers
Intelligent systems
Cutting tools
Acoustic emissions
Shearing
Torque
Sensors
Industry

Keywords

  • Automation
  • Production
  • Life Cycle
  • Quality
  • Tool Management,
  • Environment

Cite this

@article{37effcc419ca4c7991c81cb25ac65da3,
title = "Managing Product Performance through Design Engineering: Condition Monitoring in Automated Organisations",
abstract = "Despite impressive advances in automated production technology, manufacturing industry is still heavily reliant on conventional processes, particularly in processes designed for materials removal in which controlled shearing of the work-piece occurs. Such processes typically involve the use of automated computer controlled machining centers, which, in principle, are capable of sustained periods of unattended operation. However, the quality of the finished product, in terms of its conformance to dimensional and surface finish requirements as specified in the design, is strongly dependent upon the condition of the cutting tools used. A number of tool life management systems have been designed and engineered and are employed in production environments today, but these are usually based on expired life criteria and are of limited applicability. Crucially, in the context of increasing product life cycles, the disguarding of tools earlier than may be necessary is wasteful, expensive and inconsiderate to the environment. More sophisticated designs do exist, typically based on advanced technologies, such as acoustic emission or spindle torque sensors, for dynamically sensing tool condition during operation. Such systems are potentially more useful but still only indicate that some aspect of the cutting process has changed and usually require human intervention. This paper thus addresses the need for better control of production processes with the objective of increased operating efficiency based on reducing waste and improving the product life cycle. The work reported here is primarily concerned with the design and application of prototype intelligent systems for automated tool management.",
keywords = "Automation, Production, Life Cycle, Quality, Tool Management,, Environment",
author = "Kasim Randeree",
year = "2009",
language = "English",
volume = "3",
pages = "147--159",
journal = "Design Principles and Practices",
issn = "1833-1874",
publisher = "Common Ground Publishing",
number = "4",

}

TY - JOUR

T1 - Managing Product Performance through Design Engineering: Condition Monitoring in Automated Organisations

AU - Randeree, Kasim

PY - 2009

Y1 - 2009

N2 - Despite impressive advances in automated production technology, manufacturing industry is still heavily reliant on conventional processes, particularly in processes designed for materials removal in which controlled shearing of the work-piece occurs. Such processes typically involve the use of automated computer controlled machining centers, which, in principle, are capable of sustained periods of unattended operation. However, the quality of the finished product, in terms of its conformance to dimensional and surface finish requirements as specified in the design, is strongly dependent upon the condition of the cutting tools used. A number of tool life management systems have been designed and engineered and are employed in production environments today, but these are usually based on expired life criteria and are of limited applicability. Crucially, in the context of increasing product life cycles, the disguarding of tools earlier than may be necessary is wasteful, expensive and inconsiderate to the environment. More sophisticated designs do exist, typically based on advanced technologies, such as acoustic emission or spindle torque sensors, for dynamically sensing tool condition during operation. Such systems are potentially more useful but still only indicate that some aspect of the cutting process has changed and usually require human intervention. This paper thus addresses the need for better control of production processes with the objective of increased operating efficiency based on reducing waste and improving the product life cycle. The work reported here is primarily concerned with the design and application of prototype intelligent systems for automated tool management.

AB - Despite impressive advances in automated production technology, manufacturing industry is still heavily reliant on conventional processes, particularly in processes designed for materials removal in which controlled shearing of the work-piece occurs. Such processes typically involve the use of automated computer controlled machining centers, which, in principle, are capable of sustained periods of unattended operation. However, the quality of the finished product, in terms of its conformance to dimensional and surface finish requirements as specified in the design, is strongly dependent upon the condition of the cutting tools used. A number of tool life management systems have been designed and engineered and are employed in production environments today, but these are usually based on expired life criteria and are of limited applicability. Crucially, in the context of increasing product life cycles, the disguarding of tools earlier than may be necessary is wasteful, expensive and inconsiderate to the environment. More sophisticated designs do exist, typically based on advanced technologies, such as acoustic emission or spindle torque sensors, for dynamically sensing tool condition during operation. Such systems are potentially more useful but still only indicate that some aspect of the cutting process has changed and usually require human intervention. This paper thus addresses the need for better control of production processes with the objective of increased operating efficiency based on reducing waste and improving the product life cycle. The work reported here is primarily concerned with the design and application of prototype intelligent systems for automated tool management.

KW - Automation

KW - Production

KW - Life Cycle

KW - Quality

KW - Tool Management,

KW - Environment

M3 - Article

VL - 3

SP - 147

EP - 159

JO - Design Principles and Practices

JF - Design Principles and Practices

SN - 1833-1874

IS - 4

ER -