کاربرد هوش مصنوعی در مهندسی و ساخت و تولید
محورهای موضوعی : هوش مصنوعیمحمدرضا تجلی 1 , محسن پیرمحمدی 2
1 - دانشگاه آزاد اسلامی واحد علوم و فناوری پردیس
2 - دانشگاه آزاداسلامی واحد علوم و فناوری پردیس
کلید واژه: نرم افزار های CAD-CAM, هوش مصنوعی, ساخت و تولید, پرینتر سه بعدی, تولید سریع,
چکیده مقاله :
در مهندسی نرم‌افزار، راهکارهای هوش مصنوعی برای خودکارسازی کارهای زمان‌بر در توسعه و تست نرم‌افزار به کار گرفته شده‌اند. از طرفی بکارگیری و نقش هوش مصنوعی در CAD-CAM باعث رشد در صنعت ساخت و تولید گردیده است. از طرفی امروزه از فناوری چاپ سه بعدی به منظور تولید در بسیاری از زمینه ها مانند تولید، خودرو، هوافضا و ... استفاده میگردد. در نتیجه، دقت طراحی و راندمان با ترکیب یکپارچه هوش مصنوعی و تولید بهبود می یابد و فرصت بهینه سازی فرآیندها و کاهش ضایعات فراهم می کند. در چشم انداز پیشرفت تکنولوژیکی، ادغام هوش مصنوعی AI، چاپ سه‌بعدی ، اینترنت اشیاءIoT، به عنوان یک الگوی انقلابی در حوزه‌ی طراحی و توسعه محصول ظهور کرده است. در دنیای مدرن، ساخت افزایشی یا 3D Printing، آینده نگرترین فناوری در تولید است. الگوریتم های هوش مصنوعی می توانند داده های تولید را در زمان واقعی تجزیه و تحلیل کنند و الگوهایی را شناسایی کنند که مشکلات کیفیت را نشان می دهند و عملکرد نمونه های اولیه قبل از تولید پیشبینی میکند و امکان تشخیص زودهنگام و اصلاح نقص ها را فراهم می کنند که این مورد یکی از کاربردهای نمونه سازی سریع است که در این مقاله اشاره به آن خواهد شد.
In software engineering, artificial intelligence solutions have been employed to automate time-consuming tasks in software development and testing. At the same time, the adoption and role of AI in CAD-CAM has driven growth in the manufacturing industry. Additionally, today 3D printing technology is used for production in many fields such as manufacturing, automotive, aerospace, and more. As a result, design accuracy and efficiency improve through the integrated combination of AI and manufacturing, creating opportunities to optimize processes and reduce waste. In the technological advancement landscape, the integration of AI, 3D printing, and the Internet of Things (IoT) has emerged as a revolutionary paradigm in product design and development. In the modern world, additive manufacturing or 3D printing is the most forward-looking technology in production. AI algorithms can analyze production data in real time and identify patterns that indicate quality issues, predict prototype performance before production, and enable early detection and correction of defects—this relates to rapid prototyping, which we will examine in this paper.
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