Automated Engineering
Capturing Company Know-how and Best Practices
Empower CAD Traditional Design Processes
Automated Engineering with CATIA is a cutting-edge approach that leverages Dassault Systèmes' CATIA software to streamline design, simulation, and manufacturing processes. This innovative methodology employs automation to expedite product development, reduce errors, and enhance efficiency. By harnessing CATIA's robust features, such as parametric modeling, scripting, and PLM integration, companies can optimize their workflows, leading to cost savings, improved product quality, and quicker time-to-market. This approach is particularly invaluable in industries like aerospace, automotive, and manufacturing, where complex, regulated products demand precision and innovation.
Providing Better Products and Reducing Cost
Company Apps Builder role allows companies to model any of their best practices and know how. It's done in a simple and intuitive way, without the need for special coding skills. From complex conceptual studies in the automotive domain to airframe structure generation, an expert is able to capture, model, automate design and engineering tasks and embed core-knowledge rules and checks within those tasks. Guided by skilled rules and checks, free from time-consuming, repetitive design tasks, and benefiting from knowledge-driven task automation, users can then unleash their creativity and focus on innovation. The company increases its competitiveness considerably by providing better products and reducing costs.
Product Optimization Convergence through Optimization
Lengthy engineering changes are often the cause of delays and increased production costs. Product designs that continue to use physical prototypes are more prone to errors, delays, and increased costs. However, choosing a solution with built-in knowledge ensures your product conforms to various standards, helping you to work faster and design right the first time. The Templates, Optimization and Rules Designer roles provides capabilities to easily capture engineering know-how and methodology for highly efficient reuse.
CATIA Automated Engineering software products are packaged as Roles on the 3DEXPERIENCE platform to get you up to speed faster and work more efficiently with all needed applications available at your fingertips. Select a package that corresponds to your role in an organization.
Using CATIA, Dasan Consultants can set up design templates that help to speed up design, reduce rework and retain knowledge
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FAQ About CAD Automated Engineering
Design automation refers to the use of various tools and technologies to automate parts of the design process, typically in engineering and architecture. This approach can significantly reduce time, cost, and human error in creating complex designs. Different types of design automation include:
- Computer-Aided Design (CAD) Software: CAD software automates the creation, modification, analysis, and optimization of a design. It's widely used in fields like automotive, aerospace, industrial design, and architecture. Examples include SolidWorks, and CATIA.
- Generative Design: This is a form of computational design where algorithms generate a large number of design alternatives based on specified constraints and parameters. It's particularly useful for optimizing designs for weight, strength, material usage, or other factors.
- Building Information Modeling (BIM): BIM is specific to architecture and construction. It's a process supported by various tools and technologies involving the generation and management of digital representations of physical and functional characteristics of places.
- Parametric Design: This involves using algorithmic thinking to encode the relationships between design intent and design response. It's often used in complex structures and architectural designs.
- Simulation and Analysis Tools: These tools automate the process of simulating different scenarios and analyzing the performance of designs under various conditions, which is crucial in fields like engineering and architecture.
- Custom Scripting and Programming: Many designers use custom scripts and programming languages (like Python, C++, or specialized scripting languages within CAD tools) to automate specific tasks or create unique design solutions.
- Artificial Intelligence and Machine Learning in Design: AI and ML can predict design outcomes, suggest improvements, or even generate design concepts based on historical data and learned patterns.
- Digital Twin Technology: Creating a virtual replica of a physical asset to simulate, analyze, and optimize the asset's performance in its virtual form before actual deployment or for ongoing maintenance.
Each of these types of design automation plays a distinct role in various industries, helping to streamline design processes, increase efficiency, and foster innovation in design practices.
A Design Automation API is a specialized application programming interface (API) that allows developers to automate design tasks and processes. It's primarily used in conjunction with computer-aided design (CAD) software and other design tools. The key features and functions of a Design Automation API include:
- Remote Execution of Design Tasks: It enables the execution of design tasks on remote servers. This means you can automate CAD tasks without needing a local installation of the CAD software.
- Customization and Extension: Developers can use the API to create custom scripts or plugins that extend the functionality of existing design software, tailoring it to specific business or project needs.
- Integration with Other Applications: The API allows for seamless integration of CAD or design software with other systems, such as enterprise resource planning (ERP) systems, product lifecycle management (PLM) tools, or even custom web applications.
- Batch Processing: It can handle batch processing of design files, useful for applying changes or updates to multiple files simultaneously, saving time and effort.
- Automated Design Modifications: The API can automate routine or complex design modifications, such as resizing components, adjusting parameters, or generating design variations based on predefined rules.
- Enhanced Collaboration: By integrating design automation into cloud-based platforms, it facilitates better collaboration and accessibility among different stakeholders, regardless of their location.
- Efficient Use of Resources: Running design tasks via an API on a server frees up local computing resources and allows for more efficient scaling of computing power based on the complexity of the task.
Design Automation APIs are particularly valuable in industries where custom design is frequent and time-sensitive, like manufacturing, architecture, and engineering. They enable businesses to automate their design processes, reduce manual work, and increase overall productivity and accuracy.
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