Article
Engineering, Mechanical
Munish Kumar Gupta, Qinghua Song, Zhanqiang Liu, Rupinder Singh, Murat Sarikaya, Navneet Khanna
Summary: The research study involved the fabrication and use of textured tools for machining under different cooling conditions, with nanofluids combined with textured tools showing superior results. This establishes textured tools as a sustainable alternative to existing cutting tool technology in the manufacturing industry.
TRIBOLOGY INTERNATIONAL
(2021)
Article
Engineering, Manufacturing
Sughosh Deshpande, Maria Clara Coimbra Goncalves, Anna Carla Araujo, Pierre Lagarrigue, Yann Landon
Summary: Industry 4.0 is driving automation and smart manufacturing in the current global market. This study aims to create specific force data maps for axial drilling and circular milling processes based on experimental force and power measurements, allowing for precise material identification and optimization of cutting parameters.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Optics
Aniket Roushan, Chetan
Summary: In the past three decades, surface texturing has been extensively studied as a method to control friction and wear in tribological systems. Surface textures reduce friction by lowering adhesion, reducing effective contact area, and collecting wear particles. The effect of laser parameters on the machining performance of textured tools is still not well understood. In this research, linear textures were fabricated on carbide tools using the Nd: YAG laser with varying parameters, and the effect of parameters on texture depth, resolidified layer, and substrate hardness was evaluated. The textured tools showed improved machining performance in turning pH 13-8 Mo SS alloy, with reduced cutting forces, temperature, surface roughness, and tool wear. The textured tools fabricated with fluence = 31.4 J/cm2 and pulses per surface spot = 5 pulses/surface spot outperformed other combinations of laser parameters.
OPTICS AND LASER TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Pulkit Gupta, Harsh Singh Rajput, Mohit Law
Summary: This paper presents the use of vision-based methods for cutting tool motion registration and modal analysis, with a comparative analysis of different methods and observation of extracted motion matching well with measured tool point accelerations. Modal parameters extracted from vision-based measurements are also observed to be consistent with those extracted using traditional experimental modal analysis procedures.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Industrial
Yuhan Chen, Linhe Sun, Yongbo Wu
Summary: Using straight-nosed cutting tools can reduce cut thickness, cutting force, and heat flux density, leading to decreased tool wear and smoother machined surface, enhancing cutting efficiency.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Brevin Tilmon, Eakta Jain, Silvia Ferrari, Sanjeev Koppal
Summary: This study presents a novel foveating camera that dynamically modulates the viewpoint using a programmable micro-electromechanical mirror. The camera achieves high-angular resolution and wide field of view, allowing simultaneous imaging of multiple regions of interest. Compared to traditional smartphones, this camera demonstrates superior performance in remote eye-tracking.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Review
Automation & Control Systems
Mehmet Erdi Korkmaz, Munish Kumar Gupta, Zhixiong Li, Grzegorz M. Krolczyk, Mustafa Kuntoglu, Rustem Binali, Nafiz Yasar, Danil Yu Pimenov
Summary: This review introduces the importance of online detection systems in mechanical machining, as well as how to use advanced sensor systems to improve machining characteristics, meeting the requirements of Industry 4.0. By reviewing literature, introducing sensor types, and online detection methods, it provides important references for researchers and scholars.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Materials Science, Multidisciplinary
Mike Olsson, Volodymyr Bushlya, Filip Lenrick, Jan-Eric Stahl
Summary: Tungsten is commonly used in various industries, including nuclear and research facilities, due to its unique properties. However, its poor machinability and brittleness present challenges for tooling solutions. In this study, various tool materials were tested for turning high purity tungsten, with only PCD and PVD coated cemented carbide showing sufficient performance. Wear mechanisms were analyzed, revealing abrasion, oxidation, and cracking for carbide tools, while PCD tools showed mainly abrasion and diffusional dissolution. Surface quality issues were attributed to factors such as cracking, porosity, and adhesion.
INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
(2021)
Article
Materials Science, Ceramics
Henrik Persson, Volodymyr Bushlya, Luiz Franca, Jinming Zhou, Jan-Eric Stahl, Filip Lenrick
Summary: This study investigated the performance and wear mechanism of three different PcBN tools with different cBN content when machining a new Ni-Co-based superalloy. The high-cBN grade performed the best in terms of machining time, but generated undesirable wear morphology. Both the medium-cBN and low-cBN grades showed stable wear performance, but with notching as a drawback.
CERAMICS INTERNATIONAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Junjie Zhou, Jianbo Yu
Summary: A machine vision method is proposed for precise measurement of chisel edge wear in high-speed steel twist drills, aiming to improve measurement accuracy and reduce testing costs. Experimental results demonstrate that the system exhibits high response speed and detection accuracy, showing great potential for real-time monitoring of tool wear in industry.
COMPUTERS IN INDUSTRY
(2021)
Article
Materials Science, Multidisciplinary
Feng Ding, Chengyong Wang, Tao Zhang, Yang Deng, Xuguang Zhu
Summary: This study investigates the adhesive wear of coated tools in the machining of zirconium-based bulk metallic glasses (Zr-based BMGs). The mechanism of adhesive wear is revealed through the characterization of tool-chip interfacial material responses. The wear resistance of coatings is found to depend on their micro-mechanical properties, particularly the elastic modulus and the ratio of nano hardness to elastic modulus.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Engineering, Mechanical
Gaohui Liu, Yonghong Fu, Yun Zhou, Jinghu Ji, Zehui Gu
Summary: By introducing volcano-like textures on the tool rake face, the adhesion and wear on the tool surface in the machining Ti-6Al-4V alloy process are reduced, leading to improved tool life and machining quality. The investigation combines simulation and experiment to study the effects of the textured tools, and provides a basis for surface texture design and optimization of carbide tools.
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES
(2022)
Article
Materials Science, Ceramics
Ran Duan, Guijie Wang, Youqiang Xing
Summary: A novel multiscale texture was developed to enhance the cutting performance of Al2O3/TiC ceramic tools, showing good integrity and effectiveness at different cutting velocities. The synergistic effect of microscale and nanoscale textures promoted the introduction and permeation of cutting fluid, ultimately improving the cutting performance.
CERAMICS INTERNATIONAL
(2022)
Article
Engineering, Mechanical
Rebecka Lindvall, Filip Lenrick, Rachid M'Saoubi, Jan-Eric Stahl, Volodymyr Bushlya
Summary: This study investigates the tool wear mechanisms during machining of Ti6Al4V titanium alloy using uncoated cemented carbide. The primary wear mechanism identified is temperature-driven diffusion, with the carbide exposed to different temperatures and contact conditions resulting in various wear phenomena.
Article
Engineering, Mechanical
Thomas Childerhouse, Rachid M'Saoubi, Luiz F. P. Franca, Pete Crawforth, Martin Jackson
Summary: Polycrystalline diamond (PCD) is being developed as a new cutting tool material for titanium alloy machining. The high temperature hardness of PCD can improve productivity by enabling higher cutting speeds. This study examines the performance of different PCD tool grades in milling Ti-54M, and finds that smaller grain size offers better tool life due to superior fracture toughness. The study also compares the surface integrity of PCD and carbide machining, and shows that PCD results in lower microstructural damage and cutting forces.
Article
Materials Science, Characterization & Testing
B. C. F. Oliveira, A. A. Seibert, V. K. Borges, A. Albertazzi, R. H. Schmitt
Summary: Carbon fibre reinforced plastics (CFRPs) are replacing metals in fields like aerospace for their high mechanical strength and low weight. This study introduces a transfer learning approach using a U-Net neural network for segmenting OLT images of CFRP plates with impact damages. The results demonstrate that U-Net is the most reliable method for assessing defective areas, ensuring higher safety in maintenance tasks.
NONDESTRUCTIVE TESTING AND EVALUATION
(2021)
Article
Chemistry, Multidisciplinary
Fabian Zechel, Julia Jasovski, Robert H. Schmitt
Summary: Surface laser structuring of electrical steel sheets can manipulate magnetic properties using low coherence interferometry for efficient use. Integrating an LCI measurement system into existing machines faces challenges due to wavelength differences and offset between measurement and processing spots.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Chemical
Ferdinand Biermann, Julius Mathews, Bastian Niessing, Niels Koenig, Robert H. Schmitt
Summary: The growing interest and applications of advanced cell, gene, and regenerative therapies highlight the importance of efficient production of biological material and novel treatment technologies. Many processes for these materials are still manual and need to be automated, but there are challenges with mechanical and communication interfaces in biotechnological devices. The trend towards automation in the device market is evident, with the OPC DA communication protocol emerging as a standard for biotech devices.
Article
Medicine, General & Internal
Sebastian Haeusner, Laura Herbst, Patrick Bittorf, Thomas Schwarz, Chris Henze, Marc Mauermann, Jelena Ochs, Robert Schmitt, Ulrich Blache, Anke Wixmerten, Sylvie Miot, Ivan Martin, Oliver Pullig
Summary: ATMP, particularly TEPs, offer promising treatment options for unmet clinical needs, but face challenges of high manufacturing costs and labor-intensive processes. Automation has the potential to overcome these obstacles, but requires effective cleaning procedures and process control. Innovative technologies and concepts can address current manufacturing hurdles in ATMP production.
FRONTIERS IN MEDICINE
(2021)
Article
Engineering, Manufacturing
Laszlo Monostori, Balazs Cs Csaji, Peter Egri, Krisztian B. Kis, Jozsef Vancza, Jelena Ochs, Sven Jung, Niels Koenig, Simon Pieske, Stephan Wein, Robert Schmitt, Christian Brecher
Summary: The potential for treating chronic and life-threatening diseases with stem cell therapies can be greatly realized through efficient automation of stem cell production. However, working with living materials poses significant challenges to automation. Recent developments in production platforms aim to improve reproducibility, quality, throughput, and cost-effectiveness of the process on a global scale.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Amon Goeppert, Lea Grahn, Jonas Rachner, Dennis Grunert, Simon Hort, Robert H. Schmitt
Summary: The demand for individualized products drives the development of manufacturing systems towards greater adaptability and flexibility, with digital twins serving as a fully connected digital model to physical and digital assets. Standardization and structured modeling are crucial in the creation and deployment of digital twins, along with communication standards and protocols for data exchange. However, there is a lack of consistent workflow from ontology-driven definition to standardized modeling. This paper aims to design an end-to-end digital twin pipeline and automate the process of establishing communication connections. A line-less assembly system with manual stations and a mobile robot is used as an example to explain the digital twin pipeline transparently.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Engineering, Multidisciplinary
Jonas Grosseheide, Kilian Geiger, Anderson Schmidt, Calvin Buetow, Benjamin Montavon, Robert H. Schmitt
Summary: The reconstruction of surface geometry of x-ray computed tomography (XCT) measurement data is a challenge. This study presents a reliable surface geometry determination method based on previously acquired fringe projection (FP) data, which can capture surface geometry at a sub-voxel resolution.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Management
Tobias Mueller, Alexander Segin, Christoph Weigand, Robert H. Schmitt
Summary: This study aims to reduce the effort of modeling in determining measurement uncertainty by using feature selection methods. Two feature selection methods were identified based on their stability, universality, and complexity, which can reliably identify relevant and irrelevant influencing quantities for a measurement model.
INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT
(2023)
Article
Engineering, Industrial
Robert H. Schmitt, Dominik Wolfschlaeger, Evelina Masliankova, Benjamin Montavon
Summary: This paper presents a framework based on generative deep learning methods for interpreting characteristic features extracted from complex inputs and treating them as metrological quantities. The approach is demonstrated in the field of machine vision and shows potential applications in industrial image processing.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Armin F. Buckhorst, Lea Grahn, Robert H. Schmitt
Summary: The Line-less Mobile Assembly System paradigm (LMAS) provides flexibility for large-scale product production. A suitable control system is needed to connect resources and autonomously configure transient assembly stations. This paper introduces a suitable decentralized multi-agent control system approach.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Materials Science, Characterization & Testing
N. Grozmani, D. Chupina, B. Montavon, R. H. Schmitt
Summary: Computed tomography (CT) is a technology used for inspecting internal and external features of workpieces simultaneously. However, the presence of beam hardening and scattered radiation artifacts due to different material densities and atomic numbers often leads to inaccuracies in CT measurements of multi-material workpieces. Multispectral CT (MSP CT) measurements address this issue by combining multiple CT volumes performed with different x-ray spectra. This paper focuses on sinogram interpretability in the CT radon space and proposes a CT simulation method to determine the optimal x-ray spectra for artifact reduction.
NONDESTRUCTIVE TESTING AND EVALUATION
(2022)
Article
Physics, Applied
Andreas Ulm, Mirza Tareq Ahmed, Robert Schmitt
Summary: We propose an optical setup based on a spatial light modulator (SLM) for rapid micro structuring such as laser lithography. The system addresses beam shaping and mitigates common issues of SLMs. Separating the zero-order focal plane from the first image plane and applying Fourier filtering improves image quality and achieves a resolution of approximately 11 μm.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2023)
Article
Materials Science, Multidisciplinary
Lukas Conrads, Natalie Honne, Andreas Ulm, Andreas Hessler, Robert Schmitt, Matthias Wuttig, Thomas Taubner
Summary: This study demonstrates flexible encoding of different absorption/emission properties within a metasurface. By patterning cm-sized stripe gratings on an adaptable grating absorber metasurface using a commercial direct laser writing setup, the plasmonic phase-change material In3SbTe2 (IST) is locally switched between an amorphous and crystalline state to achieve control over the emissivity. The laser power and IST stripe width can be modified to encode different polarization-sensitive patterns with nearly perfect absorption. The results pave the way for low-cost, large-area, and adaptable metasurfaces with wavelength and polarization-selective perfect absorption for applications such as enhanced thermal detection, infrared camouflage, or encoding anti-counterfeiting symbols.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Multidisciplinary Sciences
Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Luetticke, Robert H. Schmitt
Summary: Causal inference is a fundamental research topic for discovering cause-effect relationships. Time series data provides a good basis for inferring causal relationships. This publication proposes a new data-driven two-phase multi-split causal ensemble model to combine the strengths of different causality base algorithms.
Article
Engineering, Manufacturing
Amon Goppert, Leon Mohring, Robert H. Schmitt
Summary: Mass customization requires shorter manufacturing system response times, especially in assembly processes. Flexible and dynamically interconnected assembly systems are necessary to meet the increased requirements, as opposed to traditional dedicated assembly line approaches. Leveraging artificial neural networks for online production planning and control can predict favorable actions with high accuracy and estimate makespan with minimal error.
PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT
(2021)
