{"title":"Advancement in Haptic Devices Integrating 3D Printing","authors":"Prasad Borse, Shruti Gupta, Balasubramanian Kandasubramanian","doi":"10.1002/amp2.70047","DOIUrl":"10.1002/amp2.70047","url":null,"abstract":"<div>\u0000 \u0000 <p>Haptic devices, crucial in human-computer interaction, replicate tactile sensations through stresses, vibrations, or movements. Integrating 3D (three-dimensional) printing technology has significantly enhanced haptic design, application development, and system performance. This study explores various 3D-printable materials for haptic devices, emphasizing their mechanical qualities, flexibility, and practical use. Rigid polymers like PLA (Polylactic acid) and ABS (Acrylonitrile Butadiene Styrene) ensure structural integrity, while flexible materials like TPU (Thermoplastic Polyurethane) and silicone-based resins mimic human skin's tactile perception. 3D printing improves the precision of mechanical actuators, sensors, and responsive materials used in haptic feedback, allowing rapid prototyping and unique shapes. The advancements in haptic devices, driven by 3D printing, enable the creation of personalized components that meet specific user needs. In healthcare, these devices are used for surgical training, organ and limb replacement, and physiotherapy. In virtual and augmented reality, haptic feedback enhances user interaction. The aerospace and defense industries utilize haptic devices for simulation, remote operations, and communication, while consumer electronics benefit from increased engagement and improved product quality. The synergy between material science and 3D printing leads to more efficient, accessible, and versatile haptic systems, advancing touch feedback technology and offering innovative solutions for human-machine interfaces.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146139350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Supply Chain Flexibility to Unforeseen Demand Under Quantified Process Uncertainty: A Pharmaceutical Case Study","authors":"Miriam Sarkis, Nilay Shah, Maria M. Papathanasiou","doi":"10.1002/amp2.70049","DOIUrl":"10.1002/amp2.70049","url":null,"abstract":"<div>\u0000 \u0000 <p>As supply chain resilience becomes a growing priority across industries, there emerges a need for decision support tools for advanced manufacturing planning under uncertainty. The pharmaceutical industry is a representative case, with manufacturers catering for emerging gene therapy and vaccine applications reporting delays and shortages in recent years due to the unforeseen pandemic, the need to rapidly re-purpose manufacturing resources, combined with uncertain process performance of established capacity. Whilst process uncertainty is often quantifiable, tackling unforeseen demands requires the establishment of flexible production platforms. To this end, we present a framework for the quantification of network design flexibility integrating quantified process uncertainty. Network reliability metrics are quantified through scenario-based chance constraint programming and solution quality is tested via Monte Carlo simulation. Cost-reliability plots are obtained to pinpoint the required costs and capacity to meet a target probability of product demand satisfaction. Given an upper bound in cost and fixed design, the tool is also used to map out a feasible solutions space, quantifying maximum network reliability. Improving network reliability with this proactive approach supports supply chain resilience, as the impact of unexpected events can be understood and mitigated a priori.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146140126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antony Gareau-Lajoie, Djogap F. Chrysler J, Daniel Rodrigues, Marie-Ève Gosselin, Moncef Chioua
{"title":"Titanium Dioxide Content Soft Sensor Development for Pilot-Scale Ilmenite Electric Arc Furnace Using BiLSTM and BiGRU Recurrent Neural Networks","authors":"Antony Gareau-Lajoie, Djogap F. Chrysler J, Daniel Rodrigues, Marie-Ève Gosselin, Moncef Chioua","doi":"10.1002/amp2.70048","DOIUrl":"10.1002/amp2.70048","url":null,"abstract":"<p>Electric arc furnaces (EAFs) are central to various metallurgical processes for melting and upgrading ore. These furnaces use a significant amount of energy and consumables to operate, which suggests substantial potential for gains in operational efficiency. In this study, we propose a proof of concept for estimating a pilot-scale ilmenite smelting electric arc furnace critical quality variable: the titanium dioxide content of the slag bath. This quality variable is estimated using a soft sensor based on a data-driven machine learning (ML) model. The proposed ML model is trained using EAF sidewall temperatures, electric power, ore charge, and reducing agent charge values. To account for the nonlinear and dynamic nature of the semibatch process, models based on long short-term memory (LSTM) and gated recurrent unit (GRU) neural network architectures are tested and evaluated. A systematic hyperparameter tuning approach allowed obtaining good estimation performance with an MSE of 0.23, an RMSE of 0.48, and an R2 of 0.78.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70048","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145904825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Minimum Viable Pilot Plant (MVPP): A Lean Framework for De-Risking Chemical Process Technologies","authors":"Peter Oladipupo, Arvind Raman, Joseph F. Pekny","doi":"10.1002/amp2.70046","DOIUrl":"10.1002/amp2.70046","url":null,"abstract":"<p>The commercialization of novel chemical process technologies is frequently impeded by the valley of death, a critical gap between promising laboratory-scale discovery and economically viable industrial production. This gap is largely defined by the prohibitive capital cost, extended timelines, and significant risk associated with traditional pilot plants. To bridge this gap, this paper introduces the <i>Minimum Viable Pilot Plant (MVPP)</i> framework: a lean, hypothesis-driven approach to de-risking process technologies through targeted, capital-efficient experimentation. Grounded in both historical engineering practice and lean startup principles, the MVPP formalizes a reproducible method for maximizing the learning-to-capital ratio and generating high-fidelity data to validate the most critical techno-economic assumptions. Instead of replicating a full-scale plant, the MVPP isolates and tests the single riskiest process element using minimal hardware. Its iterative application enables progressive de-risking of complex, system-level challenges. Illustrative case studies are presented to demonstrate how the MVPP model accelerates technology validation, reduces investment barriers, and democratizes innovation in the chemical industry. While the MVPP is a promising tool, it is not a panacea. Nevertheless, it can accelerate commercial chemical process innovation, particularly in resource-constrained environments, and it opens opportunities for further studies.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145877097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Biotechnological Valorization of Orange Processing Waste Into Bioethanol: Physicochemical Characterization and Fermentation Performance","authors":"Fatma Zohra Aissi, Djamel Elhadi","doi":"10.1002/amp2.70045","DOIUrl":"10.1002/amp2.70045","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigates the physicochemical characteristics of two local varieties of orange processing waste to assess their potential as biofuel feedstocks. The raw material was pretreated in an autoclave using steam explosion and dilute acid hydrolysis at 121°C and 1 bar, with 0.5% sulfuric acid and a 2% substrate concentration for 20 min. Fermentation was carried out with <i>Saccharomyces cerevisiae</i> under anaerobic conditions. The highest total sugar content was observed in the Valencia Late variety (49.33% ± 0.78% dry weight), compared to 44.04% ± 1.32% for Double Fine. Distillate volumes were 25 mL for Valencia Late and 27 mL for Double Fine, corresponding to ethanol yields of 5.0% (v/v) and 5.4% (v/v), respectively. Furthermore, gas chromatography analysis of the ethanol indicated retention times of 1.379 and 1.385 for Valencia and Double Fine, respectively, closely aligning with the standard retention time of 1.380. These findings demonstrate that orange peel lignocellulosic biomass presents a promising source for the production of second-generation bioethanol.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maneuverability-Based Speed and Temperature Adaptive Robotic Control (M-STARC) for Fiber Steering in Additive Manufacturing","authors":"Hussam Tawfik, Peter Goldsmith","doi":"10.1002/amp2.70044","DOIUrl":"10.1002/amp2.70044","url":null,"abstract":"<p>Steering of continuous fiber along three-dimensional (3D) paths in automated fiber placement (AFP) additive manufacturing using a 6-axis robotic arm requires advanced toolpath planning strategies to ensure coordinated control of robotic movements, printing speed, and deposition temperature. Fiber steering requires large nozzle rotations to keep the fibers tangential to the nozzle path. If the print speed is not reduced accordingly, the resulting large robot joint accelerations cause jerky movements and vibrations that disrupt the precise printing height—typically ranging from 0.1 to 0.3 mm—causing fiber damage at the nozzle tip and path errors. This research introduces a novel approach called Maneuverability-based Speed and Temperature Adaptive Robotic Control (M-STARC). The method dynamically adjusts printing speed and deposition temperature based on the complexity of the robotic joints' maneuvering required to maintain tangential alignment of the 3D printing nozzle with the fiber path trajectory. Heat transfer analyses determine nozzle temperature as a function of printing speed. This speed is varied along the trajectory to limit robot joint accelerations, which depend on the maneuverability (kinematics) of the robot. Faster printing speeds (and higher nozzle temperatures) are allowed at points where less maneuvering is needed. The proposed toolpath planning approach effectively defines the 3D path and robotic movements while adhering to critical speed–temperature constraints, laying the theoretical foundation for future experimental validation and implementation in fiber steering applications.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145366720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joseph W. Schroer, Tarek Jamaleddine, Raymond Jian, Hoang Nguyen
{"title":"Electric Process Furnace Modeling Using Algebraic Geometric Reduction of the Radiant Heat Transfer Problem","authors":"Joseph W. Schroer, Tarek Jamaleddine, Raymond Jian, Hoang Nguyen","doi":"10.1002/amp2.70042","DOIUrl":"10.1002/amp2.70042","url":null,"abstract":"<div>\u0000 \u0000 <p>Electrically heated high temperature process furnaces, when powered by renewable energy, are a promising technology for decarbonized chemical production. Although heat transfer, and in relevant cases coupled reaction modeling, is a well-known problem, the geometrical complexity of using (potentially miles of) resistive heating elements to generate heat for large industrial production furnaces makes the problem computationally intractable for multi-physics software and computer hardware affordable for use in furnace design. The so-called “effective emissivity” concept—the value of a flat radiant wall that would predict the electric heating element temperature were the heating elements to be included—simplifies the model for practical use. It allows prediction of the heating element temperature, which is critical to the element's operating life. A method to directly determine this parameter was developed by examining the mathematical structure of the radiant heat transfer problem. With this method, the effective emissivity is only a function of the problem geometry and the emissivity of the electric heating element material. The geometry inputs are in the form of surface areas and view factors. The method fully accounts for the 3-dimensional structure of commercial electric heating solutions.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Laminar Mixing Performance in an Oscillatory Baffled Reactor: Experimental and Numerical Approaches","authors":"Ryosuke Murotani, Wataro Saiki, Satoko Fujioka, Masahiro Yasuda, Takafumi Horie","doi":"10.1002/amp2.70043","DOIUrl":"10.1002/amp2.70043","url":null,"abstract":"<div>\u0000 \u0000 <p>In regions with a low oscillatory Reynolds number, an oscillatory baffled reactor (OBR) exhibits the folding and stretching of fluid, resulting in the mixing observed within the baffle sections. In this study, an analysis of the mixing mechanism and an evaluation of mixing performance were conducted using experimental methods and numerical simulations to visualize the boundary between the liquid phases and track its shape changes. The ratio of oscillation stroke to baffle interval length, the open ratio of the baffle's cross-sectional area, and the length of the baffle intervals were varied. A glycerin-water solution was used, and the boundary line was colored with rhodamine, forming a film-like layer at the orifice, which was then visualized using sheet laser fluorescence. Oscillatory flow was applied, and changes in the length of the boundary line and the boundary area were measured for one oscillation cycle. For the numerical calculations, the velocity field was first computed, followed by the arrangement of virtual particles to represent the boundary line. The shape of the boundary line obtained from the experiments was consistent with the simulation results, and the trends in the length of the boundary lines for the first cycle were generally consistent as well. Therefore, the experimental results confirmed that the boundary area increases exponentially, consistent with the simulation results.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145272066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Manufacturing of Vertically Aligned One-Dimensional Copper Microwire Array Using PDMS Templates","authors":"Long Zhu, Weixiao Gao, Fei Ren","doi":"10.1002/amp2.70041","DOIUrl":"10.1002/amp2.70041","url":null,"abstract":"<div>\u0000 \u0000 <p>Currently, the most widely used and commercially available templates for the electrodeposition of one-dimensional (1D) metal structures are anodic aluminum oxide (AAO) and polycarbonate track etched (PCTE) templates. Due to technical limitations in the fabrication process of these templates, their thickness is restricted to a few tens of microns (typically not exceeding 60 μm). However, some applications, such as advanced seal applications, require one-dimensional structures that are longer, up to hundreds of microns. In this study, polydimethylsiloxane (PDMS) templates with a thickness of 200 ~ 300 μm were prepared and used for the electrodeposition of Cu microwires (MWs) for the first time. The technical processes demonstrated here can be extended to prepare other 1D metal structures with customized geometry, length, diameter, and density, paving the way for new applications of 1D metal structures. Additionally, a scratch test was conducted on the synthesized Cu MWs array to examine the bonding strength of the Cu MWs array to the Cu substrate. The results showed that the Cu MWs array has a very strong bonding strength to its underlying Cu substrate, such that no delamination of Cu MWs occurred under a normal load of 3 N during scratch testing.</p>\u0000 </div>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145146488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gabriel Rezende de Oliveira Nascimento, Valdir Apolinário de Freitas, José Vicente Hallak Dangelo
{"title":"Using Pure Oxygen in a Nitric Acid Plant to Increase Production and Reduce NOx Emissions","authors":"Gabriel Rezende de Oliveira Nascimento, Valdir Apolinário de Freitas, José Vicente Hallak Dangelo","doi":"10.1002/amp2.70039","DOIUrl":"10.1002/amp2.70039","url":null,"abstract":"<p>Nitric acid is a strong acid and a powerful oxidant. It is very important for the production of fertilizers, pharmaceuticals, dyes, synthetic fibers, and explosives. The objective of this work is to explore the usage of pure oxygen as an additional raw material for a nitric acid plant to optimize its production while reducing NO<sub>x</sub> losses, considering a medium pressure plant (operation range between 230 and 600 kPa), trying to increase the efficiency of the plant by intensifying the absorption column. The analysis was performed using ProSim Plus HNO<sub>3</sub> simulator. After simulation and validation, an optimization procedure was performed using other operational parameters besides the amount of pure oxygen fed into the system, such assecondary air molar flow, absorption column cooling water temperature, and absorption water molar flow rate. The results obtained were also analyzed considering their effectivity over the production increase, and an economic analysis of how much oxygen can be injected was performed, comparing the amount of nitric acid produced. Using the proposed methodology, the nitric acid production rate could be increased by 32%, and it has shown to be profitable for various scenarios without exceeding NO<sub>x</sub> losses of the base case scenario. The best scenario considering raw material and product prices has increased the production by 25%, without the necessity of changing process configuration. Results obtained in this work show that process intensification of a nitric acid plant is possible without changing any equipment or layout of a current nitric acid plant in operation.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://aiche.onlinelibrary.wiley.com/doi/epdf/10.1002/amp2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144915242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}