{"title":"Domain Segmentation Optimization of Multiple Anisotropic Materials With Varying Orientation Angles Using a Topology Optimization Based on the Extended Level Set Method","authors":"M. Noda, K. Matsushima, Y. Noguchi, T. Yamada","doi":"10.1115/imece2022-94041","DOIUrl":"https://doi.org/10.1115/imece2022-94041","url":null,"abstract":"\u0000 In this study, we propose a method to optimize a domain segmentation of multiple anisotropic materials having varying orientation angles (OAs). The feature of this method is that anisotropic materials having different OAs are considered as different materials for each angle and the domain segmentation is optimized. First, the formulation of a multi-material topology optimization problem is described in which anisotropic materials with different OAs are considered as different materials. Then, linear elasticity topological derivatives are calculated when an anisotropic material is replaced with a different anisotropic material. Subsequently, we outline a topology optimization method based on the extended level set method, which is used to solve the multi-material topology optimization problem. Finally, we apply the proposed method to a stiffness maximization problem and demonstrate its effectiveness using multiple numerical examples.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133213774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Kuts, Maulshree Singh, S. Alsamhi, D. Devine, Niall Murray
{"title":"Physical and Virtual Robotic Cells in Industry 4.0 Towards Industry 5.0: An XR-Based Conceptual Framework","authors":"V. Kuts, Maulshree Singh, S. Alsamhi, D. Devine, Niall Murray","doi":"10.1115/imece2022-95021","DOIUrl":"https://doi.org/10.1115/imece2022-95021","url":null,"abstract":"\u0000 The Digital Twin (DT) in the manufacturing domain is already the everyday tool for visualizing the various industrial systems, equipment, and produced products. When designing a new manufacturing unit or enlarging an existing factory, it is important to do so without affecting the manufacturing process flow itself. There are opportunities through simulation and digital manufacturing to plan and optimize this design process. Within usage of the actual physical machinery data gathered from the Industrial Internet of Things (IIoT) sensors and feeding to the DT, optimizing the layout can be done more precisely and effectively. However, there is no way to test the potential equipment simultaneously with the physical one in real-time. This paper aims to propose a Mixed Reality (MR) based system framework and toolkit, which will enable physical industrial robots to interact with virtual equipment and other virtual robots. This way, via Virtual Reality (VR), it will be possible to design a system layout. Furthermore, via the Augmented Reality (AR) view, it will be possible to simulate the interaction between multiple robots by enhancing the possibilities of the physical environment and using the new precise scale real-time design method.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130450418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Proof-of-Concept Study of a Magnetorheological Micropump","authors":"S. Cesmeci, Rubayet Hassan, Mark Thompson","doi":"10.1115/imece2022-96174","DOIUrl":"https://doi.org/10.1115/imece2022-96174","url":null,"abstract":"\u0000 In this paper, we studied a flap valve micro-fluidic pump that relies on an electromagnetic actuation mechanism. The upper wall pump chamber is made of a smart material called magnetorheological elastomer (MRE). Under a magnetic field, the upper wall contracts, and the amount of contraction depends on the intensity of the applied magnetic field, which can be controlled via electromagnets. Moreover, flap valves mounted inside this micropump can convey fluids unidirectionally. A Finite Element Analysis (FEA)/Computational Fluid Dynamics (CFD)-based approach was embraced for the design of the device due to the coupled electromagnetic-fluid-structural interactions in the device. Simulations were carried out in COMSOL Multiphysics software. The performance characteristics of the pump were presented and discussed. In addition, a parametric study was conducted to see the effects of important design parameters on the net pumped volume, results of which were also presented and discussed. After the simulation studies, a working prototype pump with a 10.22 × 7.67 × 51.11 mm (W × H × L) was 3D printed. The experimental plan for the working prototype was discussed for further studies. The presented study lays the foundation for future studies where the pump size will be reduced to under 1 mm. The proposed micropump could potentially be used in a broad range of applications, such as an insulin dosing system for Type 1 Diabetic patients, artificial organs to transport blood, organ-on-chip applications, and so on.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134376351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Almalki, Ali A. Rajhi, Hussam H Noor, A. Kundu, J. Coulter
{"title":"Experimental Investigation of the Robustness of Bulk Metallic Glass-Based Tooling for Microinjection Molding","authors":"Ahmed Almalki, Ali A. Rajhi, Hussam H Noor, A. Kundu, J. Coulter","doi":"10.1115/imece2022-94888","DOIUrl":"https://doi.org/10.1115/imece2022-94888","url":null,"abstract":"\u0000 The primary objective of this research was to experimentally investigate the robustness of a commercially available zirconium-based bulk metallic glass material (Zr-based BMG) for microinjection molding (μIM) tooling. The focused ion beam (FIB) direct milling process was utilized to fabricate microfeatures onto two BMG-based mold inserts.\u0000 Uncoated and Ti-coated inserts were inspected through molding cycles utilizing SEM. Additionally, TPU molded samples were characterized to quantify the replication quality of the inserts through molding cycles. This is to understand the polymer melt effect of the tooling during molding conditions.\u0000 The uncoated BMG insert was utilized for more than 1000 molding cycles regardless of the potential crystallization. No signs of any crack initiation were observed in any part of the BMG insert. Through molding process, the replication quality degraded due to the polymer adhesion to the microcavity base.\u0000 In the case of the coated BMG insert, the coating could not withstand the high ejection force during demolding stage. The adhesion between the coating and the BMG surface was insufficient to survive molding conditions. This resulted in disintegrated coating that was bonded into molded samples.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131683008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compostable, Full Biobased Foams Using Environmentally Benign Manufacturing","authors":"K. Oluwabunmi, N. D'Souza, Weihuan Zhao","doi":"10.1115/imece2022-95956","DOIUrl":"https://doi.org/10.1115/imece2022-95956","url":null,"abstract":"\u0000 With initiatives on carbon capture utilization, use of CO2 in the manufacture of foamed polymers is valuable. The low solubility and strong temperature/pressure correlation to utilization remains a limit. Here we explore two aspects of green manufacturing. Use of a biopolymer and CO2 to foam it. Microcellular foams were produced from amorphous polylactic acid (PLA) with 12% d-lactide content using the batch foaming method. The batch method produces foams that are affected by cell nucleation, growth and solidification. In the thermal soak method, CO2 was introduced into PLA above its Tg, depressurized resulting in solidification, followed by soaking in a hot water bath for trapped CO2 to be released. In a second method, CO2 injected above the Tg was held at a temperature above ambient to encourage cell growth followed by a quench. The results showed that foams made through the decompression technique at foaming temperature of 55 °C were rigid in nature and had a better mix of cellular architecture due to their well-defined bimodal cellular structure compared to the foams made at foaming temperature of 75° C. Excellent mechanical and good sound absorption properties were attributed to the bimodal distr. Thermal conductivity values of (0.031–0.063) W/mK obtained for the PLA foams made using the thermal soak and decompression techniques was equivalent to that of petroleum based extruded polystyrene (EPS) and expanded polystyrene (XPS) foams ∼ (0.03–0.06) W/mK valuable for building insulation.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122134997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Alqosaibi, Mohammed Alemmrani, Ahmed Almalki, A. Duhduh, J. Coulter
{"title":"Numerical and Experimental Investigation of Rheodrop Technology","authors":"K. Alqosaibi, Mohammed Alemmrani, Ahmed Almalki, A. Duhduh, J. Coulter","doi":"10.1115/imece2022-94952","DOIUrl":"https://doi.org/10.1115/imece2022-94952","url":null,"abstract":"\u0000 A novel invention to advanced hot runner-based injection molding called Rheodrop technology is introduced. The technology allows control over the melt rheology inside the hot drops during/between injection molding cycles. The concept is to rotate the valve pin inside the hot drop to apply a controlled shear rate to the polymer melt. Doing so eliminated the incomplete filling defects associated with molding thin-walled parts and allowed processing at a lower melt temperature. The applied shear stress by Rheodrop technology was investigated utilizing ANSYS fluent software. The maximum shear stress that the polymer gets exposed to during the injection molding cycle was specified using Moldflow software. The results showed that the Rheodrop applies less shear stress than what the polymer gets exposed to during the injection molding cycle. Thus, utilizing Rheodrop does not cause additional damage to the polymer melt. Rheometric analyses were performed to investigate the polymer degradation for ABS. The reduction rate of viscosity was the same for samples that were injection molded conventionally and samples that were molded using Rheodrop technology.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124694298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data Augmentation Using Spectral Failure Deltas to Diagnose Bearing Failure","authors":"Ethan Wescoat, Matthew Krugh, L. Mears","doi":"10.1115/imece2022-93869","DOIUrl":"https://doi.org/10.1115/imece2022-93869","url":null,"abstract":"\u0000 Labeled training data are challenging to obtain in a manufacturing environment during production due to the time and cost constraints of the labelling process. Of the labeled training data that is collected, failure data comprises a small proportion or is non-existent in production datasets for condition monitoring. The small proportion can be related to failures occuring uxpectedly and parts are replaced quickly, meaning the failure state is rare and makes up a small portion of the run life and number of samples collected. The lack of labeled data and failure data leads to challenges in creating effective predictive systems, such as Digital Twins, to accurately determine equipment health state and remaining useful life. This work investigates training predictive algorithms using an augmented failure data set derived from laboratory systems with knowledge of real-world failures. Data are collected under different failure progressions and operating conditions to create variability for the variety of different production applications to apply these data augmentation methodologies. These same data are transformed by adding the variability measured through purposefully damaging the mechanical system to create the degraded and failed state data. This variability is extracted using a spectral augmentation technique on the surrogate system’s failure data under an artificial fatigue case. The fatigue case is created by incrementally damaging the bearing raceway and measuring the damaged surface area with respect to the total bearing raceway. The measured difference between these pre- and post-lab damage states is used as the damage state data set transformation function. The augmented and “true” data are then compared using class probability analysis and diagnosing particular failure instances. For future research, relatability analysis will be investigated to see how the effects change between bearings of different sizes.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130823280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Abubakar, K. Al-Athel, S. S. Akhtar, Abdulazeez Abubakar
{"title":"A Multi-Scale Model for Microstructure Evolution During a Multi-Material Additive Manufacturing Process","authors":"A. Abubakar, K. Al-Athel, S. S. Akhtar, Abdulazeez Abubakar","doi":"10.1115/imece2022-92563","DOIUrl":"https://doi.org/10.1115/imece2022-92563","url":null,"abstract":"\u0000 Powder-based additive manufacturing (AM) technologies are commonly used to fabricate intricate-shape three-dimensional (3D) composite parts. The present study provides further insights into powder melt pool behavior and microstructure evolution during additive manufacturing of Hastelloy(HX)/WC composite using sequentially coupled multi-scale models. At the macro-scale, the heat transfer model is used to predict the temperature distribution and melts pool geometry formed during laser heating of multi-material powder bed. At the mesoscale, the phase-field and heat transfer models are coupled to predict the evolution of grains during the solidification of the powder melt. The computational results are reasonably comparable to that of the experiments. It is found that an ellipsoidal melt pool shape is formed around the irradiated zone. The temperature, thermal gradient and cooling rate changes across the melt pool dimensions. Due to epitaxial growth, columnar (elongated) grains are developed near the solid-liquid interface. In contrast, equiaxed grains are formed near the top regions of the melt pool due to higher cooling rates. The elongated grains become split into equiaxed ones due to the presence of the WC particles. The presence of the larger WC particles enhances the cooling rate; thereby, resulted in grain refinement. Reducing the WC particle size still results in grain refinement due to the pinning effect on grain boundaries; however, the grain size becomes affected by the WC particle size. The inclusion of foreign particles could be used to inhibit anisotropic behavior in 3D printed parts.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116193434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timofey Dragun, Seth Mascaro, J. Blanchard, Vedang Chauhan
{"title":"Assembly Automation Using an Industrial Robot","authors":"Timofey Dragun, Seth Mascaro, J. Blanchard, Vedang Chauhan","doi":"10.1115/imece2022-94986","DOIUrl":"https://doi.org/10.1115/imece2022-94986","url":null,"abstract":"\u0000 Industrial automation is a prominent process that has been around for many years and is continuing to evolve. An important aspect of automation is industrial robots. This paper focuses on an automated circuit board assembly process. Components of the assembly are described and identified, as well as a completed assembly is shown with 3D printed components. Important camera setup steps are documented and discussed in addition to the iRVision Geometric Pattern Matching (GPM) tool which is used to teach the camera how to find parts. The process was first developed using ROBOGUIDE simulation software, once validated the program was implemented on a physical FANUC LR Mate 200iD/4s robot. Trial runs were completed with both the physical robot and the ROBOGUIDE simulation, with the data being analyzed to determine the system performance. Comparing the physical robot to the ROBOGUIDE simulation has revealed that the physical robot can perform as well as the simulation in terms of part detection, but suffers when it comes to speed. Simulation in the virtual software is a quick and easy way to visualize and analyze the robotic work cell before investing money into implementing it in the real world.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127014852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H. Taheri, Michael Jones, Suyen Bueso Quan, Maria Gonzalez Bocanegra, Mohammad Taheri
{"title":"Distributed Acoustic Sensing (DAS) for Intelligent In-Motion Transportation Condition Monitoring","authors":"H. Taheri, Michael Jones, Suyen Bueso Quan, Maria Gonzalez Bocanegra, Mohammad Taheri","doi":"10.1115/imece2022-95366","DOIUrl":"https://doi.org/10.1115/imece2022-95366","url":null,"abstract":"\u0000 Safety is the top priority for every transportation system. Although various aspects of transportation infrastructure’s safety have been studied, in-motion monitoring and detection of defect is still a big concern. Understanding the trend of anomalies, and how to monitor undesired conditions are of high interest in transportation. In this study, the technology of Distributed Acoustic Sensing (DAS) for in-motion rail condition monitoring is studied through experimental testing and simulation modeling. DAS uses fiber optic cables along the track to detect any anomaly indicator. DAS permit the measurement of a desired parameter as a function of length along the fiber. Despite any conventional Nondestructive Testing (NDT) technique where the coverage or scanning area of the sensors are very limited, DAS provides a full, fast and accurate coverage of all section under the test. The objective of this research is to provide an assessment of anomaly detection and monitoring techniques based on DAS for transportation investigation. It presents the experimental evaluations and numerical simulations on the current methodologies in DAS systems. DAS was used to evaluate the transportation traffic condition in a rural area by connecting an available underground dark fiber to the DAS interrogator and system as well as simulated traffic condition in smaller scale in a parking lot. COMSOL Multiphysics software was used to model the interaction of ambient vibration with the fiber optic. Results show that the condition of the transportation can be monitored and detected by DAS with an appropriate accuracy. DAS information can be used for traffic condition monitoring, object tracking and flaw detections in the transportation lines.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131241078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}