Rapid Design System Research Articles

Accelerated design of Al−Zn−Mg−Cu alloys via machine learning

A machine learning-based alloy rapid design system (ARDS) was proposed to customize the preparation strategies for the desired properties or predict the alloy properties following the preparation strategies. For achieving this, three regression algorithms: linear regression (LR), support vector regression (SVR), and back propagation neural network (BPNN), were employed separately to train the multi-property prediction model, in which the machine learning (ML) model built using SVR was proved to be the best. Then, inspired by the generative adversarial network (GAN) algorithm, the ARDS was constructed. The predictive reliability of ARDS was examined, and for the accurate prediction of the preparation strategies, the upper limits of ultimate tensile strength (UTS), yield strength (YS), and elongation (EL) are about 790 MPa, 730 MPa, and 28%, respectively. Moreover, an ARDS-designed aluminum alloy with superior mechanical properties (764 MPa for UTS, 732 MPa for YS, and 10.1% for EL) was experimentally fabricated, further verifying the reliability of ARDS.

Retracted: Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology

Retracted: Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology

Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology

In this paper, to solve the problem of slow design of arts and crafts and to improve design efficiency and aesthetics, the existing big data and 3D technology are used to conduct an in-depth analysis of the optimization of the rapid design system of arts and crafts machine salt baking. In the system requirement analysis, the functional modules of this system are identified as nine functional modules such as design terminology management system and external information import function according to the actual usage requirements. In the system design, the overall structure design, database design, and functional module design of the system are comprehensively elaborated, and the key issues such as 3D display and home layout generation algorithm based on reinforcement learning are analyzed and designed. In the implementation part of the system, the overall construction of the system and the composition of functional modules are introduced in detail and the main functional modules of the system are presented with interface diagrams. In the system implementation part, the overall system construction and functional module composition are introduced in detail, the main functional modules of the system are shown with interface diagrams, codes, and algorithms, and the specific implementation process of 3D display and soft layout algorithms are also explained in detail. The process of Surface Mount Technology (SMT) big data processing and analysis is designed, and the design of SMT production line data collection scheme and real-time data processing architecture is completed. Based on the characteristics of SMT production line data, the K-means algorithm is used to detect data outliers and verify the accuracy of the method; also, the Spark-based association rule printing parameter recommendation model is designed, and the efficiency of the Apriori algorithm is significantly improved by parallelization.

An Innovative Customized Stent Graft Manufacture System Assisted by Three-Dimensional Printing Technology

Commercially available thoracic aortic stent grafts rarely match the geometric characteristics of the aorta perfectly, which can lead to complications. Customization maybe a solution for this problem, but the delay inherent in the current manufacturing process makes it unable to meet the urgent requirement of acute aortic events. We established and optimized a rapid design and manufacture system for a customized aortic stent graft assisted by 3-dimensional (3D) printing technology. We also evaluated the preliminary feasibility and capability of this customized stent graft. Seven essential production steps comprised the rapid design and manufacture process for the customized stent graft system assisted by 3D printing technology. Optimization of the manufacture process was refined over time in 3 stages. Bench test and invivo experiments were used to verify the feasibility of this system and evaluate the preliminary usability of the customized stent graft. After optimization, the theoretical production time of the customized stent graft was reduced to approximately 12 hours. Bench test showed radial forces against the aorta wall were better distributed in the customized stent graft than in the control stent graft. Invivo experimental results showed that the customized stent graft system worked effectively. It was feasible to rapidly design and manufacture a customized aortic stent graft assisted by 3D printing technology, which demonstrated better geometric compliance and physical characters in the bench test and in invivo experimentation. The manufacturing process could be accelerated to approximately 12 hours, which might be optimized further to meet urgent clinic requirements.

基于知识工程的玉米果穗收获机割台快速设计

In the design process of maize combine harvester in China, there are characteristics of customization and high demand for diversification. Aiming at the problems of long design and development cycle, the structural design method of maize combine harvester header based on knowledge engineering is put forward, and the header of maize combine harvester is designed rapidly. Firstly, based on the design standards and specifications of agricultural machinery, the general design process of maize ear harvester header is determined. Secondly, according to the design knowledge and experience, the design method of the core parts of the header is determined, and an example model is established. Finally, based on the platform of MFC and Creo, integrating the design knowledge base, inference engine and parametric model, a rapid design system of maize ear harvester header is constructed. The rapid design of maize ear harvester header is realized, and the design and development efficiency of maize ear harvester header is improved so as to provide technical reference and support for improving the intelligent level of typical complex agricultural machinery equipment in China.

Knowledge configuration model for fast derivation design of electronic equipment and its implementation

There has contradictions in timeliness and diversity in the design schemes of complex product systems. The traditional solidified knowledge template for the knowledge reuse purpose cannot meet the rapid design needs of complex products. This paper proposes a configurable knowledge ontology model (CKOM) and a corresponding design method for rapid derivation of complex products. Based on the combination of basic knowledge elements (BKE), customized knowledge elements (CKE), and assorted knowledge elements (AKE), a knowledge structural body (KSB) is constructed by unitizing knowledge ontology into units of knowledge. And a dynamic structured knowledge template configuration method based on physical form (Pf) configuration and virtual form (Vf) association is proposed. The knowledge configuration information is transmitted and parsed in XML form, and the virtual form is established to associate and dynamically configure the corresponding physical form knowledge structure. Based on the structured knowledge model configuration template, a rapid derivative design method for electronic equipment is proposed. The rapid derivation design process is divided into three stages: requirement analysis, index demonstration, and scheme formation. By establishing seven knowledge attributes, such as global, local, scope, retrieval, the required product knowledge elements, rule knowledge elements and tools are dynamically configured to realize the dynamic processing of design parameters based on configuration knowledge elements and then form a corresponding design scheme. Finally, a rapid derivation design system is developed and applied to electronic equipment, which verifies the rationality and effectiveness of the proposed model and method.

Kineticist: Kinetic Sculpture Design Using Multilevel Skeletons.

This article presents a rapid parametric design system of the rotary kinetic sculpture. The multilevel skeletons enable users to model propeller-like units rapidly, arrange and deform them collaboratively, and generate transmission mechanisms automatically without any specialized machine knowledge. Experimental results show that our system can help users get diverse rotary kinetic sculptures effectively.

Rapid Design System for Agricultural Machinery Employing Knowledge-Based Engineering: Case Study of A Wheeled Combine Chassis

Abstract. Highlights A knowledge-based rapid design system for combine chassis is proposed. The object-oriented knowledge representation uniformly describes the multi-source heterogeneous design knowledge. The multivariate linear regression analysis ratiocinates further unknown design principles behind existing products. Abstract. In the design of agricultural machinery, the lack of systematic and structured knowledge utilization systems results in low development efficiency and poor reusability of design knowledge. This paper considers the design of a combine chassis, and focuses on the application of knowledge-based rapid design to agricultural machinery. As a typical sophisticated agricultural machine, combines have a complicated design that requires the integration of multiple disciplines according to the crop types, production areas, and ability of the designers. Hence, a knowledge-based design system for a wheeled combine chassis is proposed. By integrating object-oriented technology with a mixed reasoning strategy, multi-source heterogeneous design knowledge can be applied in completing the chassis design task. To date, there are more than 2000 design ideas and 350 parameter models in the knowledge database. In addition, tacit design knowledge acquired by a knowledge discovery method can be employed to perfect the design and improve the reliability of the product. The design of a combine chassis demonstrates that the knowledge-based rapid design of agricultural machinery is completely feasible, and the design system significantly reduces the design workload, shortens the development cycle, and improves design efficiency and knowledge utilization.

Rapid Design System for Agricultural Machinery Using Knowledge-Based Engineering: Case Study of a Wheeled Combine Chassis

HighlightsA knowledge-based rapid design system for combine chassis is proposed.Object-oriented knowledge representation uniformly describes the multi-source heterogeneous design knowledge.Multivariate linear regression analysis ratiocinates further unknown design principles behind existing products.Abstract. In the design of agricultural machinery, the lack of systematic and structured knowledge utilization systems results in low development efficiency and poor reusability of design knowledge. This study considers the design of a combine chassis and focuses on the application of knowledge-based rapid design to agricultural machinery. As a typical sophisticated agricultural machine, combines have a complicated design that requires the integration of multiple disciplines according to the crop types, production areas, and ability of the designers. Hence, a knowledge-based design system for a wheeled combine chassis is proposed. By integrating object-oriented technology with a mixed reasoning strategy, multi-source heterogeneous design knowledge can be applied in completing the chassis design task. To date, there are more than 2000 design ideas and 350 parameter models in the knowledge database. In addition, tacit design knowledge acquired by a knowledge discovery method can be employed to perfect the design and improve the reliability of the product. The design of a combine chassis demonstrates that the knowledge-based rapid design of agricultural machinery is completely feasible, and the design system significantly reduces the design workload, shortens the development cycle, and improves design efficiency and knowledge utilization. Keywords: Combine chassis, Knowledge-based design system, Knowledge-based engineering, Rapid design.

Biodigester rapid analysis and design system (B-RADeS): A candidate attainable region-based simulator for the synthesis of biogas reactor structures

Anaerobic digesters are seldom designed based on process kinetics, but rather on a combination of hydraulic and organic loading, which may limit operational performance. This study focuses on the incorporation of process kinetics in the design of anaerobic digesters, within the attainable region conceptual framework. Candidate attainable regions for anaerobic digesters are identified using the software environment Biodigester Rapid Analysis and Design System (B-RADeS), which couples, biodegradation kinetics as well as economic parameters for the synthesis of biodigester structures. By considering swine, palm oil and pharmaceutical wastewaters, payback periods of 0.5, 1 & 2 years, and substrate, kinetic model and/or economic parameters, a promising digester structure (and associated hydraulic retention times) is synthesized, consisting of a CSTR followed by PFR (15 days), CSTR (4.8 hours) and a PFR with bypass of feed (3 days). The framework offers great promise for widespread practical application.

Development of Nonlinear Electromechanical Coupled Macro Model for Electrostatic MEMS Cantilever Beam

The deployment of MicroElectroMechanical System (MEMS) cantilever in the electronic systems is continuously increasing. These devices are usually interfaced with electronic circuits. It is important to build its macro model for rapid system design and simulation. This paper proposes development of an electromechanical coupling macro model of electrostatically actuated MEMS cantilever for straight and curled beam configurations. It consists of linear electrical components and nonlinear dependent sources, which represent mechanical parameters and electromechanical coupling in the system. In order to model device mechanics, analytical formulations are done and calculations are adapted to macro model. A methodology to derive electromechanical coupling as a function of bias voltage is developed. This electrical model is capable of predicting the device characteristic behaviour before the onset of pull-in instability region and estimates pull-in voltage. Such macro model can be easily implemented in any circuit simulation platform and be used to demonstrate the possible advantage of using this scheme for device and system dynamics optimization. To arrive at equivalence, an analytical formulation for spring constant and pull-in voltage of cantilever based on the partial load distribution and curling is derived. It utilizes the methodology based on nonlinear electrostatic pressure approximated by its linearized uniform counterpart and mechanical force-deflection model. An electrical characterization of fabricated MEMS cantilever is done to obtain the experimental value of pull-in voltage. Simulation Program with Integrated Circuit Emphasis (SPICE) simulations results for the developed model is obtained for actual device dimensions and is in good agreement with analytical and experimental results.

Web-based solution to automate capability matchmaking for rapid system design and reconfiguration

Modern manufacturing companies desire rapid responsiveness from their production systems, in order to operate efficiently in highly dynamic environments. There is a need for design tools, which can support production system design and reconfiguration by providing automatic matchmaking between product requirements and resource capabilities. Such matchmaking is currently time consuming and heavily dependent upon designer’s experience. This paper introduces a prototype of a web-based software service, which carries out this matchmaking task automatically, and how it is designed to meet the requirements of manufacturing industry. Software engineering process has been followed for the development. We also describe a case example, which illustrates how the production system designer can interact with matchmaking activity through its web service interface. We expect that web service-based approach to matchmaking will reduce the technical barrier for adoption by the manufacturing industry as existing planning and reconfiguration systems can utilize the service with small efforts.

Quasi-optical analysis of a double reflector microwave antenna system

By using quasi-optical tools, it is possible to approximate microwave radiation to Gaussian beams, which enables the study of its propagation and coupling to different components. Hence, their usefulness for wireless power transfer and rapid system design. In this paper, a system composed of two reflectors is analyzed both theoretically and by discussing two cases where quasi-optical tools were applied. The near- and far-field regimes were considered and corresponding frequencies of operation, beam radius, and radius of curvature were computed.

Rapid Design Method and System Development for Aircraft Wing Structure

This work is mainly done by too many manual operations in the aircraft structure design process resulting in heavy workload, low efficiency and quality, non-standardized processes and procedures. A top-down associated design method employing the template parametric technology is proposed here in order to improve the quality of design and efficiency of aircraft wing structure at the preliminary design stage. The appropriate parametric tool is chosen and the rapid design system of knowledge-driven aircraft wing structure is developed. First, a skeleton model of aircraft wing structure is rapidly built up through the template encapsulated design knowledge. Associated design is then introduced to realize the association between the typical structural part and skeleton model. Finally, the related elements are referenced from skeleton model, and a typical structural part reflecting an automatic response for design changes of the upstream skeleton model is quickly constructed within the template. The rapid design system proposed and developed in this paper is able to formalize the design standardization of aircraft wing structure and thus the rapid generation of different aircraft wing structure programs and achieve the structural design knowledge reuse as well.

Axiomatic Design Principle Based Rapid Gearbox Design for Large Wheeled Tractors

Heavy-duty wheeled tractors need high-performance gearboxes to reliably provide multiple velocities for a wide range of farming operations. Facing the competitive market with ever-changing demands, it is advantageous for manufacturers to develop new gearboxes of high quality within a short development cycle. Based on the Axiomatic Design (AD) Principle, a rapid design system is developed for the generation of complex gearboxes of constant-mesh type exclusive for large wheeled tractors. Supported by a knowledge database and an inference engine, the system is designed to render 3D solid models and output the configurational data of the validated gearboxes that meet the requirements specified by the user. The AD-based gearbox design methodology not only improves the design with higher efficiency and lower cost, it also facilitates further digital manufacturing, which helps agricultural equipment manufacturers streamline product development. The rapid design technology reported herein can be readily applied to other types of gearboxes, such as hydraulic torque converters and planetary gears with the same benefits.

Research and Development of Rapid Design System for Modular Machine Tool Based on KBE

This research probes into the application of knowledge based engineering (KBE), including acquision, expression and deduction of design knowledge, in rapid design system. Following the concept of modular design and in accordance with the characteristics of machine tool design, it develops a rapid design system for modular machine tool. The design flow of this system is dominantly top-down. It can inherit and reuse design knowledge and realize rapid design of modular machine tool. System development platform and development tools are introduced in this paper. The system’s efficiency and quality are illustrated by a case design.

A Rapid Design System Integrated CBR with Variant Design

In the machine tool manufacturing industry, most of the design is based on previous experience and cases. However, some parts in the machine are complex and hard to modify for reuse. In this paper, CBR integrated with variant design is proposed to accelerate the knowledge reuse process. The experience and the cases are saved in the case base, and the similarity of the cases includes the parameters and structure. The revise process is using the proposed variant design to modify the case, and we mainly talking about the process on the construction of the functional relationship, which is the key steps of the variant design. Finally, we build a rapid design system for milling machine. The application indicate that the approach for complex parts design are useful and promising in intelligent design process in terms of shorter design time and more intelligent process.

Parametric Design of Jib in Rapid Design System of Tower Crane

In rapid designing system of tower crane, the parametric design of jib is one of the key points in the process. The whole process of parametric design for the jib is introduced in this paper, which includes parameterization of a single part, parameterization of entire jib, jib design with the characteristic of changing arms for tower crane and design method of automatic assembly for the jib, etc. Realization of the jib parametric design lays foundation for the rapid design system of tower crane.

Design and Implementation of a Testing System of Automotive Air Conditioning Based on Delphi

In order to construct the design system of nuclear power valve, the axiomatic design theory is introduced in configuration process of the valve structure design. According to the functional requirement and the complex mechanical structure of the nuclear power valves, the relationship model between design parameters and functional requirements is created by using the“zigzagging”mapping. Then the design matrix can be established and the design order can be planned. After that, the complete mapping table in design process is established through decoupling to quasi-coupling design, and the valve design process according to axiomatic method is constructed. On this basis, a rapid design system is constructed by combining the structural features with the multi-characteristic optimization requirement, in which the configuration process model established by axiomatic method provides valve design in integrated system with reasonable navigation and improves the rationality and the objectivity in design development process.

Opto-Electrical Modeling of CMOS Buried Quad Junction Photodetector

A Buried Quad Junction (BQJ) PhotoDetector (PD), composed of four vertically-stacked p-n junctions, has recently been implemented and fabricated in CMOS technology. The detector, providing four different spectral responses, has higher spectral discriminating ability than both conventional Buried Double Junction (BDJ) and Buried Triple Junction (BTJ) detectors. For rapid system design integrating of the BQJ PD, we propose a BQJ SPICE-like model based on the physical properties of the device structure. The analytical expressions of the four BQJ photocurrents have been developed. Dark currents as well as intrinsic noise can also be evaluated by computations. Results have been compared with both TCAD simulations and measurements. Our model shows a good agreement with measurements and the mean relative error on spectral response prediction is between 6 % and 17 % in function of the observed junction.