Advanced Additive’s Post

Happy #3DPrintingDay!   Today, we celebrate the incredible creativity, and collaboration shaping the future of additive manufacturing. From faster production to smarter machines, software and data-driven insights, the possibilities are limitless.   A huge thank you to our partners, customers, and teams driving this transformation—together, we’re building a future where ideas come to life layer by layer.   Let’s keep pushing boundaries and making the impossible possible! Here is a glimpse of AM Explorer by Interspectral showing a in-depth #analysis for identifying data trends and patterns in the #LPBF process.   #AdditiveManufacturing #AI #FutureIsAdditive

🌟 Transforming Manufacturing with AI and Generative Design 🌟 At LMP3, we are diving into the exciting synergy of Generative Design, Additive Manufacturing, and Artificial Intelligence! 🧠✨ 🎥 Check out this video showcasing how we integrate cutting-edge AI technologies into generative design processes, transforming how we solve engineering and manufacturing challenges. 🚀 Our mission is to redefine efficiency, sustainability, and creativity in design and production. By embracing these innovations, we’re shaping the future of manufacturing. Stay tuned as we continue to lead in this transformative space! #Innovation #GenerativeDesign #AdditiveManufacturing #AI #LMP3 #EngineeringExcellence #FutureOfManufacturing

Adopting AI at speed and scale: The 4IR push to stay competitive. Good article from McKinsey & Company AI is the conductor of the Fourth Industrial Revolution, orchestrating a symphony of technologies that are reshaping our world. From flexible robotics to 3-D printing and wearable tech, AI seamlessly integrates these elements, driving innovation and efficiency across industries. Those who #invest in #robust #datafoundations are #leading the #revolution, recognizing AI's transformative potential. This technology processes vast amounts of data to make informed decisions, continuously learning and improving. AI is not just a part of the 4IR; it is the driving force behind a smarter, more interconnected world. 💡 Regarding the Data Foundation For AI to perform its role effectively, it needs vast amounts of data. This data is generated from a variety of sources, including enterprise systems, machine sensors, connectivity infrastructure, and human inputs. The front-runners in this revolution are those who have invested in building robust data foundations. They recognized the potential of AI early on and took the necessary risks to develop the infrastructure needed to harness its full power. 💡 Regarding how best to use and apply AI To truly grasp the transformative impact of AI, it's essential to understand how it works. AI processes a lot of data to make informed decisions, continuously learning and improving from the information it gathers. This capability is what enables AI to drive the Fourth Industrial Revolution forward, creating efficiencies and innovations previously unimaginable. Read for more: https://lnkd.in/dYBqUxfi #4IR #AIRevolution #FutureTech #SmartIndustry #IndustrialSymphony #TechInnovation #DataDriven #AIImpact #Industry4. #Automation #Robotics #WearableTech #3DPrinting #SmartManufacturing

Artificial intelligence is having a dramatic impact on manufacturing, optimizing processes, cutting waste, transforming production using 3D simulations and digital twins, and helping bridge the skills gap. Read more about AI in manufacturing, as reported by @Industry Today Media. https://hubs.li/Q02Q-F390

🔍 Exploring the Types of AI in Additive Manufacturing Defect Control 🏭🤖 In the dynamic field of additive manufacturing (AM), controlling defects is crucial for ensuring product quality and consistency. Let's explore how the different types of AI can be harnessed for defect detection and control in AM processes: 1. Reactive Machines: Characteristics: These AI systems react to present scenarios using pre-programmed rules and responses without using past experiences. Application in AM: Reactive machines can be employed for real-time monitoring of the AM process. For instance, they can detect anomalies in the melt pool geometry by analyzing data from sensors and cameras, providing immediate alerts if a defect is detected. 2. Limited Memory: Characteristics: These AI systems retain some past experiences and use this information to make decisions. Application in AM: Limited memory AI can analyze historical data from previous manufacturing runs to identify patterns that lead to defects. For example, by storing and evaluating data on temperature fluctuations and material feed rates, it can predict and prevent defects in future runs. 3. Theory of Mind: Characteristics: This type of AI (currently hypothetical) would understand human emotions, beliefs, intentions, and predict behaviors. Application in AM: While still theoretical, AI with a theory of mind could interact with human operators to optimize the AM process. It could understand the operator's intentions and feedback to adjust parameters dynamically, reducing the likelihood of defects. 4. Self-aware AI: Characteristics: This most advanced form of AI would possess self-consciousness and a sense of self, understanding its existence and states. Application in AM: In the future, self-aware AI could revolutionize AM by autonomously managing the entire manufacturing process. It could self-diagnose and rectify defects, adapt to new materials, and continuously learn to improve quality without human intervention. By leveraging these AI types, we can enhance the reliability and efficiency of additive manufacturing processes, paving the way for innovations and advancements in manufacturing quality control. 🌟 #Additive_Manufacturing #3D_Printing #Artificial_intelligence

Onto Innovation Opens Packaging Applications Center for Advanced Panel-Level Packaging: Onto Innovation launches the Packaging Applications Center of Excellence, driving advances in panel-level packaging for 2.5D/3D chiplets and AI technologies. #packaging #packnode

🚀 Showcasing Innovation: HCP-bO Project at AI Roundtable in Bologna 🚀 On November 11, Fabio E. from TEC Eurolab - Testing | Certificazione | Formazione, a key collaborator on the HCP-bO project, took part in the inspiring event “Dal dato all’azione: implementazione dell’AI nell’industria manifatturiera regionale” held at Tecnopolo Manifattura in Bologna. Organized by Clust-ER Meccatronica e Motoristica, Associazione Big Data, ART-ER S. cons. p. a., and CINECA, the event was a melting pot of ideas on how Artificial Intelligence (AI) is revolutionizing the manufacturing landscape. 🌟 Highlights from the Roundtable: Fabio had the opportunity to present the HCP-bO project, which is pioneering the development of preference-based AI algorithms to optimize industrial processes. By leveraging AI, the project aims to streamline CT scan parameter settings with TEC Eurolab and enhance polymer printing efficiency in hybrid 3D printers with SmartZavod. This innovative approach not only reduces setup time but also improves the quality of manufacturing outcomes. 🔍 Exploring Cutting-Edge Technology: Attendees were treated to a guided tour of the LEONARDO supercomputer, one of Europe's most powerful machines, managed by CINECA. This showcased the immense potential of AI in driving technological advancements and boosting regional competitiveness. 🤝 Collaboration for Success: The HCP-bO project exemplifies the power of collaboration between academia and industry, aiming to deliver scalable AI solutions tailored for SMEs across Europe. By combining qualitative and quantitative optimization, the project offers versatile tools adaptable to various industrial applications. 🔗 Discover More: Curious to learn how the HCP-bO project is transforming industrial processes with AI? Read the fullarticle on our website. #EITManufacturing #AI #Manufacturing #Innovation #HCPBO #IndustrialAI #SmartManufacturing #3DPrinting #ComputedTomography #TechInnovation #Collaboration #SMEs #DigitalTransformation

It's predicted that #GenerativeAI will change the manufacturing sector by expanding #3dprinting design, improving accuracy and streamlining data handling for #industrial applications. Considering this technology's rise in popularity, it will be no surprise to see more manufacturers introduce #AI into their operations. #manufacturingindustry #manufacturing https://lnkd.in/eQsNVYNR

Introducing a #Revolutionary Innovation in #Industrial #Inspection! We are thrilled to announce the upcoming launch of ROBOT INDUSTRIES International #Vision #3D with #Deep #Learning, a cutting-edge solution that is set to redefine product quality inspection and analysis. 🔍 What makes it unique? High-precision 3D inspection: Achieves micron-level accuracy to detect the finest details and defects. No external lighting required: Delivers optimal performance even in environments without controlled lighting. Integrated Deep Learning: Advanced algorithms that adapt and learn from diverse products, enabling fast and efficient solutions. Versatile applications: From microscopy to miniaturized part analysis, this technology transforms quality control processes across industries like automotive, electronics, and healthcare. 🌟 Why does it matter? Our solution not only simplifies the inspection process but also optimizes time, reduces costs, and ensures consistent, uncompromising quality. 💡 Interested in seeing this technology in action or learning how it can transform your business processes? Feel free to reach out! 📅 Official launch coming soon! Stay tuned for more updates. #Innovation #DeepLearning #Vision3D #IndustrialAutomation #QualityControl #RobotIndustries

Theia, the AI that brings Spare Parts to life At the heart of Spare Parts 3D's offering is Theia , a software with astonishing capabilities. The result of two years of research in partnership with the prestigious Université Paris-Saclay University Laboratory for Research in Automated Production , this tool relies on neural networks and computer vision to analyze and understand technical drawings of mechanical parts in their smallest details: Dimensions, Geometry, Tolerances. In just a few minutes, Theia is able to transform these 2D plans into 3D models perfectly suited to additive manufacturing . A considerable saving in time and efficiency for manufacturers. Beyond gains in speed and efficiency, the technology developed by Spare Parts 3D opens up exciting new perspectives for the industry in terms of: Manufacturing on demand , Decarbonization , Topology optimization. Olivier Mathey Christian Darquier Read the full article published by Industrie Time in below link : https://lnkd.in/dgRi45ME