KEYWORDS: Inspection, 3D modeling, Model based design, Manufacturing, Data modeling, Systems modeling, Inspection equipment, Design, Tolerancing, Data storage
As manufacturing transitions toward digitization, there have been significant changes in the manufacturing process compared to traditional methods. However, quality control methods have not yet undergone a new transformation to adapt to the increasingly intelligent production methods. During the inspection planning phase, due to the transmission of two-dimensional paper-based information, inspection information becomes cluttered and lacks reusability. This leads to identification issues for inspectors regarding the inspection objects, resulting in false positives and missed defects. To prevent losses caused by false positives and missed defects, this article proposes a lean quality inspection and control model for critical components of high-end equipment during the inspection planning phase. The model utilizes the Model- Based Definition (MBD) as the information representation carrier and XML as the data storage and transmission method, bridging accurate data transfer across different systems. This provides model support for the manufacturing industry in improving inspection efficiency and reducing inspection planning costs.
The complexity of mechanical part manufacturing process calls for quality control from the production line level. Regarding the fuzzy mechanism, low efficiency and high cost of error diagnosis and resolution, AI methods are used to carry out prognostics that avoid the failure occurs. This paper proposes an error prediction model based on a new form of neural network constructed by serially connected branch networks, in which each branch network corresponds to a manufacturing stage. Then an early warning system for the production line concentrating on discrete manufacturing industry is developed based on the proposed model. Application research is carried out in a mechanical parts manufacturing factory where the prototype system is testified to be effective and meaningful. The study contributes to reduce the production shutdown and improve quality control capability for discrete manufacturing factories.
KEYWORDS: Inspection, 3D modeling, Model-based design, Tolerancing, Manufacturing, Design and modelling, Data modeling, Feature extraction, 3D metrology, Engineering
Facing the revolution of aeroengine complex component manufacturing technology, the traditional inspection mode for production process with two-dimension engineering drawing cannot satisfy the growing inspection requirements due to the incoherence with design and manufacturing graphs. To solve the problem, this paper researches the methodology of introducing Model Based Definition (MBD) technology to inspection planning work. The inspection information extraction and organization are carried out directly from the three-dimension digital graph and the measurement path planning is programmed based on the inspection features exported from the information management module. Then the inspection information management and path planning modules are integrated into a UG NX based system supported by a database and web environment to form an application tool. The integrated system makes up for the existing deficiencies in the inspection process of aeroengine complex components and is proven to be available in an actual aeroengine component manufacturing factory.
KEYWORDS: Data modeling, Data storage, Data analysis, Manufacturing, Document management, Data centers, Data processing, Human-machine interfaces, Visualization, Data integration
Aiming at the reasonable planning and effective utilization of massive multi-source heterogeneous quality data resources generated in the process of small-batch manufacturing, this paper proposes a quality data resource management platform with agility and dynamic integration. With the goal of business generalization and reuse, the typical quality business resources are summarized to form each data business service module of the platform. We propose a whole-process management scheme for general document management, data cleaning, and data analysis in quality data resource management. And based on the idea of componentization, separation and condensation are carried out. Relying on the enterprise's platform application practice, this paper verifies the feasibility and practicability of the proposed quality data resource management platform design through application examples.
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