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Relaxing the requirement of 100% correctness for devices and interconnections may dramatically reduce costs of manufacturing, verification, and testing.
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New generation geometrical product specification (GPS) links the whole course of a geometrical product from the research, development, design, manufacturing and verification to its release, utilization, and maintenance.
It benefits product designers through providing detailed description of functional requirements for geometrical products, and through referring to corresponding manufacturing and verification processes.
Each manufacturing and verification operation can be planned and optimized using the real conditions of a feature, thus enhancing accuracy, traceability and process control.
The unified model for design, manufacturing and verification based on the improved GPS language and its new concepts like surface models, geometrical features, characteristics, specification uncertainty, correlation uncertainty and operations is aimed to cover all aspects of the product development up to launch on the market.
Advantages of this approach for the design process, the manufacturing process and verification process will be discussed and demonstrated by the example of a microstructured inking roll.
To develop a sewage water pump for extreme operating conditions and high power consumption requires numerical simulation, advanced prototype manufacturing and experimental verification of design data.
However, for low-volume manufacturing, experimentation, design verification, research, and the exploration of novel applications of lithography, maskless lithography systems have significant advantages in cost and convenience.
From this model function-related properties can be identified and geometric parameters can be derived, which can be different for the manufacturing and the verification process.
ECUs in the manufacturing phase need the verification process in the unified way of the ECU software and hardware components by three major causes: 1) ECU software revision, 2) incomplete installation of software, and 3) quality variation of hardware.
For the effective ECU verification in the manufacturing phase, we propose a simulation-based ECU testing methodology.
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