Key Takeaways & Executive Findings
- •• Proposes a novel closed-loop model integrating contextual design with real-time verification to streamline casting process design. • Demonstrates three typical closed-loop scenarios in an intelligent casting process system, reducing design cycles and enhancing efficiency. • Addresses the inefficiency of traditional iterative CAE-based verification by embedding real-time rule checks during 3D model creation. • Offers a software development methodology based on the V-model, promoting modular design and open data flows for agile casting design.
Abstract
In the foundry industries, process design has traditionally relied on manuals and complex theoretical calculations. With the advent of 3D design in casting, computer-aided design (CAD) has been applied to integrate the features of casting process, thereby expanding the scope of design options. These technologies use parametric model design techniques for rapid component creation and use databases to access standard process parameters and design specifications. However, 3D models are currently still created through inputting or calling parameters, which requires numerous verifications through calculations to ensure the design rationality. This process may be significantly slowed down due to repetitive modifications and extended design time. As a result, there are increasingly urgent demands for a real-time verification mechanism to address this issue. Therefore, this study proposed a novel closed-loop model and software development method that integrated contextual design with real-time verification, dynamically verifying relevant rules for designing 3D casting components. Additionally, the study analyzed three typical closed-loop scenarios of agile design in an independent developed intelligent casting process system. It is believed that foundry industries can potentially benefit from favorably reduced design cycles to yield an enhanced competitive product market.
1. Introduction
With advancements in computer graphics and the increasing use of CAD tools in industry, traditional hand-drawn modeling has become less prevalent. The drawing-based 2D CAD design method is being phased out. By contrast, a full-link design process using 3D CAD has been adopted by most foundries. This method not only streamlines the understanding of design intentions but also allows for the efficient integration of upstream and downstream systems [1-5].
In recent years, the use of CAD software has enabled scholars and engineers to create tools that integrate casting process manuals with experience-based knowledge [6-13]. This approach accelerates the design process and enhances its efficiency by reducing reliance on individual expertise. It facilitates the creation of well-defined parameters and design techniques through the development of tools. Given that different casting methods involve various process components and parameters, the prevailing method is to develop knowledge-based engineering (KBE) tools for rapid 3D model design through inputting parameters. Once the basic process design is established, computer-aided engineering (CAE) software for casting simulation is used to analyze the mold filling and solidification processes. The design parameters and simulation calculations can be adjusted based on these simulation results, with iterations performed as necessary. However, because of the multitude of process components and the complexity of parameter calculations in the casting process design system, traditional development approaches that rely on industrial software occurs only at the tool level. These methods lack a unified architecture and do not incorporate real-time feedback from user experiences during the design phase.
More importantly, this iterative process can hinder both the design efficiency and quality. Therefore, swiftly developing applications to effectively minimize the need for repetitive verification due to CAE modifications is crucial for streamlining the casting process design workflow [14-15]. The V-model [16] is a well-established software development life cycle (SDLC) model that follows a sequential process and is often referred to as the verification and validation (V&V) model. This model is employed to standardize the comprehensive development framework. In this study, a novel approach for the development of casting process application software is introduced, which is aimed at improving the efficiency of the software development. Based on the research on the casting design process, the casting process design system can be divided into three closed-loop models that collectively form a development model in terms of the V-model approach. This approach has emphasized the integration of related systems and built the establishment of open data flows to facilitate modular design and seamless integration to establish an agile casting process design model, thereby improving both the quality and development efficiency of the designed application. The adoption of a three-layered closed-loop model substantially mitigates the efficiency issues as
Loading authentic research manuscript (Pages 1–5)...
Dong Xiang, Chu-hao Zhou, Xuan-pu Dong, Shu-ren Guo, Yan-song Ding, Hua-tang Cao (2025). Contextual design and real-time verification for agile casting design. China Foundry. https://doi.org/10.1007/s41230-024-3173-z
Research & Educational Purpose Only:The translations, structured abstracts, analytical annotations, and data reports provided by SinoTechIntel are intended exclusively for academic research, internal corporate R&D, and educational benchmarking. They do not constitute formal engineering, chemical safety, legal, or professional advice.
Copyright & Intellectual Property Notice: Original copyright of the underlying source articles and experimental data remains with the respective authors, institutions, and original publishing journals. SinoTechIntel claims intellectual property only over its proprietary translations, analytical syntheses, and AEO structured enhancements in accordance with international fair use and academic citation principles.
Frequently Asked Questions
What is the main contribution of this paper?
The paper proposes a novel closed-loop model and software development method that integrates contextual design with real-time verification for 3D casting component design, aiming to reduce design cycles and improve efficiency.
How does the proposed method improve casting process design?
By dynamically verifying design rules in real-time during the design phase, the method minimizes repetitive modifications and reduces reliance on iterative CAE simulations, thereby streamlining the workflow.
What are the three closed-loop scenarios mentioned?
The paper analyzes three typical closed-loop scenarios of agile design within an independently developed intelligent casting process system, though specific details are not provided in the abstract.
What is the significance of the V-model in this context?
The V-model serves as a software development life cycle framework that emphasizes verification and validation, guiding the modular design and integration of the casting process system.
Who are the target readers of this paper?
The target audience includes researchers, engineers, and software developers in the foundry industry, particularly those involved in casting process design and CAD/CAE integration.
Related Technical Papers & Translations
Pull-out capacity and energy absorption of cable bolts under impact loading
This study investigates the performance of high-strength cable bolts under impact loading conditions representative of rock bursts in underground environments. Although widely used, the dynamic behaviour of these cable bolts has received limited experimental attention, and their effectiveness in seismically active zones remains a subject of ongoing debate. To address this gap, a reverse pull-out test machine integrated with a drop hammer rig was employed. Tests were conducted on 70-t SUMO bulbed and non-bulbed cable bolts with encapsulation lengths of 300 and 450 mm, subjected to an impact energy of 14.52 kJ. Results indicate that non-bulbed cables, despite showing lower initial peak loads (average 218 vs. 328 kN for bulbed cables at 300 mm encapsulation), demonstrated superior energy absorption (average 11.26 vs. 8.75 kJ) and displacement capacity (average 48.40 vs. 36.25 mm). Increasing the encapsulation length for bulbed cables led to a reduction in initial peak load but improved displacement and energy absorption. The dominant failure mechanism was debonding at the cable-grout interface, characterised by frictional sliding and cable rotation. These findings provide new insights into the energy dissipation mechanisms of cables and support the development of more resilient ground support systems for dynamically active conditions.
Effect of eutectic content on microstructure and mechanical properties of Al-Zn-Mg-Cu alloys
The 7xxx series aluminum alloys have emerged as a particularly promising class of lightweight structural materials. However, the inherent strength of these materials is primarily influenced by the content and type of alloying elements added during the manufacturing process, as well as casting defects. The present study investigated the effects of eutectics formed by solute atoms (Zn, Mg, and Cu), with equal mass ratios (Zn/Mg=2, Mg/Cu=3) but varying overall contents, on the liquid film thickness, crack propagation depth, and the mechanical properties of the Al-Zn-Mg-Cu alloy after heat treatment. The results from gravity casting indicate that the intergranular liquid film thickness increases with the increase of eutectic content. A thick intergranular liquid film in the casting can accommodate greater strain during grain contraction, thereby preventing liquid film rupture and subsequent hot tearing. Concurrently, during the solution treatment at 475 °C, the residual eutectic fraction in the Al-7Zn-3.5Mg-1.18Cu alloy diminishes from 9.1% at 10 h to 0.35% at 40 h. At 165 °C, the Al-6Zn-3.0Mg-1.0Cu alloy exhibits the optimal mechanical properties, with a peak aging tensile strength of 510 MPa and an elongation of 6.4%. The incorporation of lower concentrations of solute atoms (Zn, Mg, and Cu) serves to reduce the barrier to dislocation precipitation, thereby enhancing alloy plasticity. However, when the proportion of alloying elements exceeds the solubility limit of the α-Al matrix at specific heat treatment temperatures, coarse residual phases remain intergranular, thereby significantly impairing the mechanical properties of the alloy. This study provides a reference for the optimal addition level of the main strengthening elements in Al‑Zn‑Mg‑Cu alloys.
Achieving optimal strength-conductivity balance in cast Al-2.3Fe-Mg-Si alloys via Mg/Si ratio regulation
The Al-2.3Fe eutectic alloy is regarded as a promising substitute for Cu conductors in automotive motors owing to its excellent castability and low resistivity. However, its application is restricted by the mutually exclusive relationship between electrical conductivity and mechanical strength. The microstructure and mechanical properties of Al-2.3Fe alloy were modified through Mg/Si alloying combined with T6 heat treatment in this work, leading to the development of a high-performance cast Al-2.3Fe-Mg-Si alloy. In the Al-2.3Fe-0.40Mg-0.72Si (Mg/Si=0.56) alloy subjected to T6 treatment, an electrical conductivity of (52.5±0.6)% IACS is achieved, while the ultimate tensile strength is significantly enhanced to 309.5±5.6 MPa. The addition of Mg and Si brings about marked changes in the solidification process of the Al-2.3Fe alloy, resulting in considerable variations in both the morphology of the second phase and its phase constitution. The aging behavior of the alloy is governed by second phase and solid solubility. Through optimization of the Mg/Si ratio, the aging response can be effectively enhanced. At the ratio of Mg/Si=0.56, a balance is achieved between solid solubility and precipitation, while simultaneously minimizing the detrimental impact on electrical conductivity and reaching the best mechanical properties and electrical conductivity in peak-aged Al-2.3Fe-xMg-ySi alloy. This work providing valuable insights for developing advanced conductor materials.