If you want to excel in this fiercely competitive world and see your business grow, you can’t help but make use of Artificial Intelligence (AI) and its other related technologies. AI is being applied to a variety of products today, and is being integrated with computer-aided software for a host of applications. Any company that is eager to improve its customer base would bat for the AI-CAD merger and should hire AutoCAD designers.
Before we understand how significant a role AI plays in CAD and its many applications, including artificial intelligence in engineering design, let’s first define CAD and Artificial Intelligence for the uninitiated:
What is CAD?
Simply put, CAD or computer-aided design refers to the use of computers to assist the design process in all kinds of industries and produce accurate results in real time. With the help of CAD, it’s become easy for architects and engineers to design any imaginary model of a building or infrastructure and to predict structural problems, even before they arise, and find solutions. Since AI is known to improve problem solving capabilities in CAD, artificial intelligence structural design is a boon for architects.
Traditionally, pen and scale were used for drafting only a 2D image of an object. Now with CAD, a 3D image of any object can be drawn. A big advantage of using CAD compared to traditional methods of designing is that it gives flexibility to manipulate and change the design in a fraction of the time.
What is Artificial Intelligence?
A concept that came to the fore in the mid-1980s, artificial intelligence uses computers in ways similar to the functioning of human-level intelligence. Artificial intelligence can include anything like learning, prediction, perception, speech recognition, decision-making, translation, social intelligence, motion, and its manipulation, etc. It is also known as machine intelligence.
Importance of Artificial Intelligence in CAD
With the incorporation of artificial intelligence in computer aided design, testing and simulations process can be completed easily, which cuts down lead time drastically. The AI algorithm can make necessary changes in a design on its own without needing humans’ intervention. Since AI can store knowledge, its incorporation into a CAD procedure automates many functions. The coming together of CAD with artificial intelligence technology is capable of delivering ergonomic engineering. Architectural experts can use AI to design an ideal building that meets everyone’s needs.
Applications of Artificial Intelligence
- Artificial intelligence in computer aided design finds application in smartphones, GPS navigation systems, and in case of 3D body-motion simulations in the Xbox 360.
- An IBM question answering system used artificial intelligence to defeat the two greatest champions of Jeopardy (a TV question-answer game show)
- Computational knowledge engine WolframAlpha uses artificial intelligence in engineering design to offer an online service that answers questions from structured data. CAD covers engineering functions ranging from simple drawings to 3D models
- Artificial intelligence used in autocad is also helpful in medical research and healthcare industry. For example, a radiologist can detect minute aspects of a case with the new generation of AI combined with advanced computer-aided detection/diagnosis tools.
- The United States Department of Defence and The Homeland Security use AI software known as SEAS (Synthetic Environment for Analysis and Simulation) to assess and predict future events and accordingly figure out the next course of action.
- The company Tampella Power Industries in Finland successfully used artificial intelligence structural design for the designing of piping systems in a high-level design language called Design++. The AI simulation used design rules to take calls on matters concerning layout, connections between components, and on meeting specifications and design standards. Since each boiler system is different, AI software is written separately for every design implementation. Mitigation and risk evaluation are two factors, which if not dealt with properly, could hamper the construction sector. The AI algorithm can assess complexity of the structure and the “Risk Score” on the responsible contractor on parameters of workloads, track records, etc.
- Apart from the areas and fields listed above, artificial intelligence used in autocad has been of great help in projects involving robotics, gaming technology, machine learning, linguistics and driverless cars.
How CAD Can Be Merged With Artificial Intelligence
Model-based reasoning or MBR is the process through which CAD can be merged with AI. It analyzes qualitatively and quantitatively to predict how design components interact. MBR is purely model-based and purely extracts knowledge from past behaviour.
The key features of AI and CAD merger are:
- The components of the products should be stored in the hierarchical form to obtain the relationship between the components.
- The knowledge-based reasoning and decision-making procedures are obtained from product designing experts.
- Links or connections between the product’s structures are determined by the rules-based reasoning and methodology.
- The efficiency of the products is analyzed by the combined analysis of quantitative and qualitative simulation.
- There should be easy installation procedures of components in the database, including the addition of new rules in the knowledge-based reasoning in the AI framework.
Implementation of artificial intelligence in computer aided design (CAD) tools is making them serve multiple purposes in a host of applications. Doing so can help create basic products to complex symmetric ones for multiple business niches without any complication. Hire AutoCAD designers now and maximize your business productivity.
Summing Up
Integrating AI in CAD can enhance product development and designing procedure by using the decision-making expertise and reasoning capabilities of seasoned product design engineers.
