Knowledge-Based Engineering (KBE) uses knowledge models as the basis for engineering. Knowledge-based systems can layer those models over existing CAD, simulation, and other engineering applications for deeper insights and unlocked efficiencies.
KBE tools gather, store, and interpret knowledge from engineers to automate complex design and manufacturing processes. With this system, stakeholders can make sounder decisions and solve problems quicker.
𝐃𝐞𝐬𝐢𝐠𝐧 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧
KBE automates numerous design engineering tasks, including conceptual design, parametric design, design optimization, configuration management (CM), material selection, assembly sequencing and planning, and more.
KBE systems are often integrated with other software tools for engineers, like Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM), to unlock seamless workflows from design to production.
KBE systems can enhance collaboration among teams performing complex engineering tasks.
KBE emerged in the 1980s as part of early investments into artificial intelligence (AI) for business applications.
The evolution of KBE was fueled by corporate information technology advancements in the ’80s and ’90s alongside the widescale adoption of CAD tools. The CAD market was an early adopter of KBE’s object-oriented engineering techniques.
𝐀𝐈 𝐖𝐢𝐧𝐭𝐞𝐫 𝐚𝐧𝐝 𝐑𝐞𝐬𝐮𝐫𝐠𝐞𝐧𝐜𝐞
KBE experienced a downturn when investor interest in AI-related fields dissipated, but interest renewed as B2B communication via the Internet became standard.
KBE continues to evolve and grow in applications along with rapidly advancing manufacturing technology. Engineers are finding new ways to integrate the latest AI, IoT, ML and other technologies to design sustainable products, offer customizable systems, and facilitate global communication.