Browse Topic: Advanced manufacturing
In area of modern manufacturing, ensuring product quality and minimizing defects are utmost important for maintaining competitive advantage and customer satisfaction. This paper presents an innovative approach to detect defect by leveraging Artificial Intelligence (AI) models trained using Computer-Aided Design (CAD) data. Traditional defect detection methods often rely on physical inspection, which can be time-consuming and prone to human error. The conventional method of developing an AI model requires a physical part data, By utilizing CAD data, the time to develop an AI model and implementing it to production line station can be saved drastically. This approach involves the use of AI algorithms trained on CAD models to detect and classify defects in real-time. The field trial results demonstrate the effectiveness of this approach in various industrial applications, highlighting its potential to revolutionize defect detection in manufacturing.
Researchers have pioneered a 3D printing method that grows metals and ceramics inside a water-based gel, resulting in exceptionally dense, yet intricate constructions for next-generation biomedical technologies.
In recent decades, vehicles have evolved from mere means of individual transportation to something much more meaningful. They are no longer mere metal bodies housing combustion engines, but now play a complex role in people’s lives, encompassing emotional, aesthetic, and symbolic aspects. These factors influence consumers’ choice of a model, brand, or version. Based on a literature review of the global automotive sector, including brand literature, scientific articles, and current automotive news, this study aims to analyze the main design and positioning trends adopted by large multinationals in the market. Using the Jeep Renegade as a case study, three design proposals for the model are illustrated and presented as follows: a “facelift,” a “new generation,” and a “concept vehicle.” Next, these design trends are conceptualized, initially illustrating the respective sketches and drafts, which take into account market positioning and the different options for the models presented in
This specification covers preforms fabricated up through 22.0 inches (560 mm), inclusive, in deposition width thickness (see 2.4) using a wire-fed plasma arc directed energy deposition (PA-DED) additive-manufacturing process on a Ti-6Al-4V substrate that are subjected to post-deposition stress-relief heat treatment. If required by the cognizant engineering organization (CEO), preforms may require subsequent machining to meet requirements for their intended final part application.
AFP can build complex, lightweight structures, but cost concerns keep its use in the automotive industry to a minimum. For now, anyway. Ramy Harik, a Fulbright alumnus and director of the Clemson Composites Center, is pushing the boundaries of manufacturing with his latest book, Automated Fiber Placement: Status, Challenges, and Evolution coauthored with Alex Brasington. The book, published by SAE in June of 2025, serves as a comprehensive guide to automated fiber placement (AFP), a cutting-edge technology crucial for building complex, lightweight structures in the aerospace and automotive industries. The book aims to offer a thorough understanding of AFP's transformative potential for students, engineers, and industry professionals. The book synthesizes a decade of research, explaining how AFP supports the rise of advanced air mobility and sustainable structures for commercial and defense aircraft, space habitats, and beyond.
NASA has developed a novel approach for macroscale biomaterial production by combining synthetic biology with 3D printing. Cells are biologically engineered to deposit desired materials, such as proteins or metals, derived from locally available resources. The bioengineered cells build different materials in a specified 3D pattern to produce novel microstructures with precise molecular composition, thickness, print pattern, and shape. Scaffolds and reagents can be used for further control over material product. This innovation provides modern design and fabrication techniques for custom-designed organic or organic-inorganic composite biomaterials produced from limited resources.
In order to meet the demand for the transformation of traditional manufacturing industries into intelligent manufacturing, a virtual monitoring system for the production workshops of nuclear - key products has been built. There are problems such as poor environment, long distance and remote collaborative office in this production workshop, and managers lack information tools to master the workshop status in real time. In order to minimize the harm of nuclear radiation to the human body, in view of the problems of low transparency, poor real - time performance and low data integration in traditional two - dimensional forms, configuration software and video monitoring, a remote monitoring system for virtual workshops driven by digital models has been developed. This system realizes the remote dynamic display of real - time information in the workshop based on data collection and three - dimensional modeling technologies. Virtual monitoring technology improves the management efficiency of
Recent advancements in energy efficient wireless communication protocols and low powered digital sensor technologies have led to the development of wireless sensor network (WSN) applications in diverse industries. These WSNs are generally designed using Bluetooth Low Energy (BLE), ZigBee and Wi-Fi communication protocol depending on the range and reliability requirements of the application. Designing these WSN applications also depends on the following factors. First, the environment under which devices operate varies with the industries and products they are employed in. Second, the energy availability for these devices is limited so higher signal strength for transmission and retransmission reduces the lifetime of these nodes significantly and finally, the size of networks is increasing hence scheduling and routing of messages becomes critical as well. These factors make simulation for these applications essential for evaluating the performance of WSNs before physical deployment of
RMIT University Melbourne, Australia
Innovators at NASA Johnson Space Center have developed additively manufactured thermal protection system (AMTPS) comprised of two printable heat shield material formulations. These formulations are directly applied by 3D printer or other robotic extrusion system and bonded to a spacecraft to devise a heat shield suitable for atmospheric entry. This technology could significantly decrease heat shield or thermal protection system (TPS) fabrication cost and time.
Nylon, Teflon, Kevlar. These are just a few familiar polymers — large-molecule chemical compounds — that have changed the world. From Teflon-coated frying pans to 3D printing, polymers are vital to creating the systems that make the world function better.
Researchers have developed a smart, self-powered magnetoelastic pen that could help detect early signs of Parkinson’s by analyzing a person’s handwriting. The highly sensitive diagnostic pen features a soft, silicon magnetoelastic tip and ferrofluid ink — a special liquid containing tiny magnetic particles.
A research team at RCSI University of Medicine and Health Sciences has developed a 3D-printed implant to deliver electrical stimulation to injured areas of the spinal cord offering a potential new route to repair nerve damage. Details of the 3D-printed implant and how it performs in lab experiments have been published in the journal Advanced Science.
ETH Zurich Zurich, Switzerland
Celebrating its 35th year, the National Aerospace Defense Contractors Accreditation Program (Nadcap) continues to advance quality assurance and regulatory compliance for aviation, defense, and space OEMs and suppliers. This article summarizes how Nadcap accreditation works, its benefits for manufacturers, and its role in expanding additive manufacturing through industry-wide consensus. The Nadcap program was first established in 1990 by a small group of aerospace and defense OEMs. Their goal was to create an accreditation initiative that provides a common approach to auditing the manufacturing and production processes used by companies supplying parts, components, structures, and services to major aerospace and defense OEMs. This foundation set the stage for Nadcap's continued focus on quality assurance and regulatory compliance in the industry.
In modern defense manufacturing, achieving technological superiority hinges on both rapid decision-making and unparalleled precision engineering. Advanced machining systems, such as 5-axis CNC machines, play a pivotal role by enabling the production of intricate, free-form geometries with micron-level accuracy. However, these advances often necessitate deep domain expertise for optimal tool selection and machining parameter configuration. This paper introduces GraphLLM, a model-agnostic approach that integrates structured knowledge graphs with large language models (LLMs) to enhance the accuracy and reliability of technical responses. By automatically extracting domain-specific entities and relationships from documents, GraphLLM mitigates LLM hallucinations and improves performance, especially in technically challenging or out-of-distribution queries. Experimental evaluations across various LLaMA models demonstrate significant uplifts of 25%, highlighting the framework’s potential to
The usage of additively manufactured (AM) notched components for fatigue-critical applications presents non-trivial challenges, such as the ubiquitous presence of volumetric defects in AM parts. Volumetric defects accelerate fatigue crack nucleation, impact short crack growth, and are near-impossible to fully eliminate. This study investigated the synergistic effects of volumetric defects and notch geometry on the fatigue behavior of L-PBF AlSi10Mg and 17-4 PH SS notched specimens. The criticality of the defects on fatigue behavior is investigated using a non-destructive evaluation technique. A classical linear elastic fracture mechanics (LEFM) approach was modified and used to quantify the effects of several factors including notch geometry, defects’ size, and location, on the fatigue crack initiation behavior. The modified LEFM approach utilized X-ray computed tomography data and linear elastic finite element analysis of local stresses in different notch geometries; to calculate and
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