Intelligent Manufacturing

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  • Topic: Numerical control, Milling machine, Machine tool
  • Pages : 8 (2094 words )
  • Download(s) : 75
  • Published : February 21, 2013
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University of Michigan - Dearborn
Corey L. Watkins
IMSE 538 INTELLIGENT MANUFACTURING
Instructor: Dr. Yubao Chen
Semester Project
SUMMER 2012

Summer 2012, IMSE 538 Term Paper:

1|Page
Intelligent Machining Centers

Throughout history, few advancements in technology can rival the barrier breaking impact of computers. This is especially evident in the advancement of CNC technology. For, cutting edge CAD/ CAM programs, Neural Networks (NN), and super- fast processors have enabled computerized machining centers to make decisions without direct human input. These autonomous machines have progressed from enormous machines into compact milling marvels no larger than, depending on the application, a small office. The subject of this research paper will be to detail the basic process of Intelligent Machining Centers, its technological advantages, as well as its distinctive application limitations. There is no doubt that the manufacturing industry today has been decimated by countless layoffs, retirements and attrition. I feel that, this unfortunate reality has played a significant role in the diminished mental perception of the manufacturing industry, and its many subset career fields. The once cornerstone of American ingenuity is no longer looked upon by young adults as the staple of middle-class prosperity. This mass exodus from both the classroom and the plant floor has left the manufacturing industry with a severe shortage of qualified personnel to fill today’s high-paying careers. It can be stated that, for every individual leaving the industry, it’s not just their physical presence being removed, but it’s their accumulated knowledge and experiences throughout their careers; this level of intellectual property cannot simply be replaced. Despite their advancements, “current CAM systems cannot generate the NC program(s) considering the machinability. So, the decisions

Summer 2012, IMSE 538 Term Paper:

2|Page
Intelligent Machining Centers

regarding cutting conditions still require the operator’s experience and knowledge” (Real Time Cutting Simulation p.1). This depletion of skill has become a serious enough problem that manufacturing specialists have relied on the advancements in computerized numerical control (CNC) autonomous technology to replace having an operator manually program every possible manufacturing situation into the control system.

The advent of modern CAD/ CAM systems has increased the potential flexibility and the range of machining applications possible. A traditional machining center structure (as seen below) utilizes a direct numerical control (DNC) connection, thus allowing for manual input for NC program corrections. Unfortunately, each new part program must be input accordingly, because the controller will not remember previously performed operations and cannot automatically change part program parameters in case a change is necessary. Some NC part programs allow for the saving of certain processing strategies, but they still require a skilled programmer to input the part program changes. These types of systems simply cannot prepare NC programs for parts not already saved in their databases and therefore cannot choose the machining strategies autonomously. These machines also lack the processing ability and networking capacity to incorporate the level of post process measuring integration necessary to satisfy todays demanding tolerance and statistical process control (SPC) requirements.

Summer 2012, IMSE 538 Term Paper:

3|Page
Intelligent Machining Centers

There are many characteristics of the next generation autonomous CNCs. Specifically, the in-process, post-process measuring, and simultaneous information input processing capabilities. These unique qualities enable, “autonomous decision making based on the on-line diagnosis of the correct machine, work-piece” (Mechanism and Machine Theory, pg. 1). These super computers receive and process part condition monitoring...
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