Randomized quality control of a 2-station machining process with blocking

The aims of this research is to build CAIP systems on OMM operation which have an ability to measure workpiece automatically based on drawing data from design division at a machine. The flow of information between each part becomes important as the design of the drawing data from design division to production division or quality control. CAIP system (Computer Aided Inspection Planning) is expected to ensure the flow of drawing information to quality control without any changed even though the amount of data that a lot. CAIP system use early drawing data from the design division. The type of drawing data which is used by each CAD software is STEP drawing data. STEP data consists of products information such as surface geometry, line, point, and direction of the vector surface. The information that can be used to build a CAIP system is a feature. Therefore, a feature reconstruction process is necessary based on the data STEP geometry information. Feature types which is used in this study are a type of box primitive feature. A Probe, a measuring instrument, can be operated in CMM (Coordinate Measurement Machine) and CNC machine. A product measuring on CNC machine during or after machining process called OMM (On Machine Measurement) operation. As a result, measuring can be performed without moving the product from the machine. In this research, 5 Axis CNC machine with Heidenhain DMU150 iTNC530 controller is used.

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Method and Application of Multistage Machining Quality Control Based on Minimum Overall Mean Quality Loss

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.213.557 ◽

2011 ◽

Vol 213 ◽

pp. 557-561

Author(s):

Yi Yong Yao ◽

Li Ping Zhao ◽

Guo Qiang Shao ◽

Yong Tao Qin

Keyword(s):

Quality Control ◽

Control Chart ◽

Machining Process ◽

Manufacturing Cost ◽

Quality Loss ◽

Control Parameters ◽

Machining Processes ◽

Loss Model ◽

Machining Quality ◽

Optimal Function

To improve the quality control effect and decrease the manufacturing cost in the product’s multistage machining processes, based on the quality loss of single stage machining process, an overall mean quality loss model of multistage machining processes is established by the integration of Duncan cost model, Taguchi quality loss model, mean shift index and average time to signal (ATS). By using this quality loss model, the overall mean quality loss optimal function of multistage machining processes is constructed and the control parameters of this function are optimally solved. Besides, The Shewhart control chart and Cause-selecting control chart can be optimally designed with the control parameters of this optimal function. Finally, on the basis of an application, the multistage machining quality control based on minimum overall mean quality loss is verified to improve the control chart’s performance under the condition of the minimum overall mean quality loss.

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Research into the Quality Control Technology in Machining Process of Enterprise Alliances Based on Procedure Oriented Parameter

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.16-19.995 ◽

2009 ◽

Vol 16-19 ◽

pp. 995-999 ◽

Cited By ~ 1

Author(s):

Ming Guang Zhao

Keyword(s):

Decision Making ◽

Quality Control ◽

Time Delay ◽

Information Integration ◽

System Architecture ◽

Process Parameter ◽

Machining Process ◽

Control Technology

In network-based manufacturing, an enterprise alliance has such characteristics as: information, integration, globalization and variation, which put forward new requests for the conventional quality control technology. Exploring the new quality control technology in machining process for enterprise alliances based on process parameter, this paper brings forward a sort of system architecture and implementing plan, which is composed of equipment layer, distributing information disposal layer, network truss layer and decision-making layer. The disposal method of data losing and time delay are also presented.

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Randomized Quality Control of a 2-Station Machining Process with Blocking

IEEE Transactions on Reliability ◽

10.1109/tr.1986.4335505 ◽

1986 ◽

Vol 35 (4) ◽

pp. 455-458 ◽

Cited By ~ 7

Author(s):

Charles S. Tapiero ◽

Lie-Fern Hsu

Keyword(s):

Quality Control ◽

Machining Process

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Deformation Replication

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100068394 ◽

1970 ◽

Vol 28 ◽

pp. 280-281

Author(s):

J. Temple Black

Keyword(s):

Cutting Speed ◽

Machining Process ◽

Depth Of Cut ◽

Rake Face ◽

Orthogonal Machining ◽

Aluminum Chips ◽

Before And After ◽

Materials Used ◽

Glass Knife ◽

Very High

Tool materials used in ultramicrotomy are glass, developed by Latta and Hartmann (1) and diamond, introduced by Fernandez-Moran (2). While diamonds produce more good sections per knife edge than glass, they are expensive; require careful mounting and handling; and are time consuming to clean before and after usage, purchase from vendors (3-6 months waiting time), and regrind. Glass offers an easily accessible, inexpensive material ($0.04 per knife) with very high compressive strength (3) that can be employed in microtomy of metals (4) as well as biological materials. When the orthogonal machining process is being studied, glass offers additional advantages. Sections of metal or plastic can be dried down on the rake face, coated with Au-Pd, and examined directly in the SEM with no additional handling (5). Figure 1 shows aluminum chips microtomed with a 75° glass knife at a cutting speed of 1 mm/sec with a depth of cut of 1000 Å lying on the rake face of the knife.

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