How AI And Machine Learning Are Revolutionising The Way Companies Prototype Their Products
The advancement in Artificial Intelligence (AI) technologies is thoroughly changing the landscape of product prototyping. It is quickly becoming apparent that the utilization of AI and machine learning (ML) is putting companies ahead because it speeds up the process at a lower cost, minimizes the risk of errors that may occur in the process, and makes this vital part of the product development more efficient.
For each modern product creation, the prototyping process itself is essential as it drives the product through a series of validation phases towards commercial manufacturing. The rapid prototyping process helps production engineers and designers to build prototypes faster than ever before, directly from CAD data. It also allows them to apply fast and regular product design updates based on real-world testing and input from real people.
What Is Rapid Prototyping?
A relatively new term, rapid prototyping, encompasses the putting together of a preliminary version of your new product, used mainly to evaluate the key components (design, functionality, etc.) before it can be commercially produced for the market. Rapidly created prototypes are a crucial component of well-managed product developments.
Rapid prototyping facilities can be used for each part or sub-component at different stages of the product development cycle and can be replicated numerous times during product development. Utilizing rapid prototyping can enable you to:
- Save money through a low-volume manufacturing process
- Put your product on the market faster (and at a higher success rate)
- Create flexible design options for your products
- Obtain a comprehensive option for bridge production
In modern product development, rapid prototyping is crucial. After all, it plays a vital role in the process of creating successful products because it speeds up the process of new product development; it validates the model’s concept design, fit, and function in the initial phases; the prototype can provide a product check against the technological parameters and the company’s goals in the final stages; it provides functionality testing necessary for finalizing the end specification of the product, and it gives a valuable hands-on user experience so the manufacturer can get real feedback before the commercial production stage.
Specialized rapid prototyping companies offer a wide range of services such as:
- 3D Printing
- CNC Machining
- Rapid Tooling
- Surface Finishing
- Injection Molding
- Rapid Metal Casting
How AI And Machine Learning Revolutionize The Prototyping Industry
Opening Of New And Exciting Possibilities
There have been extensive studies that suggest AI is paced to completely revolutionize the process of a 3D model using CAD software by developing more coherent and understandable 3D printable models. There are companies such as SolidWorks that have already begun developing this technology. They have created an AI-backed “Design X” software.
At the same time, American multinational software company Autodesk has put forward “Dreamcatcher,” which is suitable to work on regenerative designs. This improves design production by leaps and bounds in just a few hours. In the initial process, AI has enabled the additive manufacturing companies to spot weaknesses within the 3D model while saving adjustments and extra costs from the last moment.
Intelligence technology is evolving and proves to be the best choice for designing 3D printing projects with feasible 3D models.
Increasing Efficiency In Prefabrication Stages
Product development is commonly time-consuming and needs several feasible prototypes before the final comprehensive solution is chosen. By using AI-enhanced rapid prototyping systems, the entire process can be accelerated.
Working on the same fundamental characteristics, Autodesk released its first generative design product ever, which is said to be an integral part of its software suite for Netfabb 2018. Machine learning (ML) and AI algorithms that calculate digital models for 3D printing development are featured in the app.
Not far behind in the tech-race is Sculpteo, a French 3D printing services company. At the CES 2017, they have set in motion Agile Metal Technology, a novel software suite that features six practical tools, 1 of which is now used by the developers while creating a prototype. Agile Metal Technology uses artificial intelligence algorithms to optimize and track CAD files during the process of metal 3D printing. The tool has also reduced product developers’ workload by examining CAD file models to determine the most suitable and reliable printing process.
Improving Product Quality
The introduction of AI in rapid prototyping puts away complaints by product developers, manufacturers, and provides clients with a final and detailed prototype idea. By delivering more transparent technical requirements combined with the user interface at every level, the technology has improved the product quality in its entirety.
Product developers say that AI-backed systems have helped them a lot to detect bugs and defects while saving the waste of energy, efforts, time, and expense in the initial stage.
General Electric, the US digital industrial giant, has launched computer vision technology to uncover microscopic cracks in machine parts. They have disclosed that the 3D system is equipped with AI and ML algorithms that study each piece thoroughly and identify defects immediately.
Analyzing and monitoring the product’s weaknesses (lumps, depths, streaks, unknown patterns) is done by high-resolution cameras and CT scanners, things that usually go unnoticed by the naked human eye. Besides, GE engineers are developing a 3D printer that can construct potential strategies based on system vision data predictions.
After introducing IoT in production, the advent of AI-driven additive manufacturing is seen as bringing the most significant change in the industrial era. Nobody can dispute its positive influence in revealing the future possibilities in sectors such as rapid prototyping, regardless of the many portrayals of AI as a disruptive technology in the job market and pop culture.
The amalgamation of AI and additive manufacturing has given manufacturers hope to produce unique products with less effort and expense in the near future. The combination of artificial intelligence to speed up prototyping and human intelligence to create an exciting concept can dramatically reduce the end product’s time to market. The potential for the use of these technologies is unlimited once fully developed.