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Three-dimensional (3D) printing has gained increasing interests and recognition in the medical domain with studies confirming its clinical value and applications in many areas. 3D-printed personalized models provide information that cannot be obtained by traditional visualization tools, and this is especially apparent in the cardiopulmonary disease due to the complexity of anatomical structures and pathologies that are seen in the cardiopulmonary system. This chapter provides an overview of the application and usefulness of 3D-printed models in cardiopulmonary disease, including 3D printing in heart and cardiovascular disease, and 3D printing in pulmonary disease. Emerging applications of 3D printing in coronavirus disease 2019 patients, in particular, the 3D-printed ventilators, and 3D printing in cardiopulmonary bypass are also presented, while limitations and future research of 3D printing in cardiopulmonary disease are highlighted. It is expected that this chapter presents an update of current research on 3D printing in cardiopulmonary disease and possible research directions along this pathway. © 2023 Elsevier Inc. All rights reserved.
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The COVID-19 pandemic exposed the vulnerability of global supply chains of many products. One area that requires improved supply chain resilience and that is of particular importance to electronic designers is the shortage of basic dual in-line package (DIP) electronic components commonly used for prototyping. This anecdotal observation was investigated as a case study of using additive manufacturing to enforce contact between premade, off-the-shelf conductors to allow for electrical continuity between two arbitrary points by examining data relating to the stock quantity of electronic components, extracted from Digi-Key Electronics. This study applies this concept using an open hardware approach for the design, testing, and use of a simple, parametric, 3-D printable invention that allows for small outline integrated circuit (SOIC) components to be used in DIP package circuits (i.e., breadboards, protoboards, etc.). The additive manufacture breakout board (AMBB) design was developed using two different open-source modelers, OpenSCAD and FreeCAD, to provide reliable and consistent electrical contact between the component and the rest of the circuit and was demonstrated with reusable 8-SOIC to DIP breakout adapters. The three-part design was optimized for manufacturing with RepRap-class fused filament 3-D printers, making the AMBB a prime candidate for use in distributed manufacturing models. The AMBB offers increased flexibility during circuit prototyping by allowing arbitrary connections between the component and prototyping interface as well as superior organization through the ability to color-code different component types. The cost of the AMBB is CAD $0.066/unit, which is a 94% saving compared to conventional PCB-based breakout boards. Use of the AMBB device can provide electronics designers with an increased selection of components for through-hole use by more than a factor of seven. Future development of AMBB devices to allow for low-cost conversion between arbitrary package types provides a path towards more accessible and inclusive electronics design as well as faster prototyping and technical innovation.
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Surgical face mask usage has rapidly increased in the last two years due to the COVID-19 pandemic. This generates vast amounts of plastic waste, causing significant risks to the ecosystem. Thus, this study assesses the potential of using recycled fibre from face mask waste as fibre reinforcement in 3D concrete printing (3DCP) applications to improve printability while reducing landfill waste. The effect of recycled fibre from waste face masks on the rheological characteristics of printable mixes and the mechanical performance of printed elements was evaluated for different contents of shredded face masks (i.e., 1% and 2% by vol). The rheological properties like static and dynamic yield strengths, apparent viscosity, and thixotropic behaviour, along with compressive and flexural strength, were evaluated for 3D printed specimens and mechanical properties were compared to their mould-cast counterparts. Further, the variation in the interlayer bond strength and porosity due to different fibre dosages was also investigated. In addition, a comparative study on the fresh and hardened properties was performed for the printable mixes with polypropylene (PP) fibres and face masks. The addition of face masks significantly improved the rheological properties with good extrudability and buildability for all the dosages. Compared to face masks, mixes with PP fibres showed poor extrudability with higher fibre dosages. The compressive strength was increased by 41% for a 1% dosage of face masks when compared to the unreinforced concrete. Furthermore, the flexural strength when tested along the weaker interface, showed an increase of 74% and 82% for the addition of 1% and 2% face mask content. The interlayer bond strength of 1% face mask content showed 21% improvement and was observed to have the highest surface moisture content. The mechanical performance of face masks and PP fibres are observed to be comparable for 1% dosage. The mechanical properties of printed and mould-cast specimens were also observed to be similar. [ FROM AUTHOR] Copyright of Cement & Concrete Composites is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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In recent research, 3D printing has become a powerful technique and has been applied in the last few years to carbon-based materials. A new generation of 3D-printed electrodes, more affordable and easier to obtain due to rapid prototyping techniques, has emerged. We propose a customizable fabrication process for flexible (and rigid) carbon-based biosensors, from biosensor design to printable conductive inks. The electrochemical biosensors were obtained on a 50 µm Kapton® (polyimide) substrate and transferred to a 500 µm PDMS substrate, using a 3D-extrusion-based printing method. The main features of our fabrication process consist of short-time customization implementation, fast small-to-medium batch production, ease of electrochemical spectroscopy measurements, and very good resolution for an extrusion-based printing method (100 µm). The sensors were designed for future integration into a smart wound dressing for wound monitoring and other biomedical applications. We increased their sensibility with electro-deposited gold nanoparticles. To assess the biosensors' functionality, we performed surface functionalization with specific anti-N-protein antibodies for SARS-CoV 2 virus, with promising preliminary results.
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PurposeThe main purpose of this paper is to explore innovative ideas for a sustainable fashion supply chain in the future by focusing on investigating the impacts of COVID-19 on the fashion supply chain and review sustainable supply chain.Design/methodology/approachA systematic literature review (SLR) and a case study have been undertaken to explore the innovative ideas for a sustainable fashion supply chain developed after the COVID-19 outbreak. Having conducted a comprehensive literature search in electronic databases Google Scholar, Emerald Insight, ScienceDirect and ProQuest, 69 articles were selected and reviewed. A case of the Kering Group was used to explain the results.FindingsThis paper highlighted the basic concepts of a sustainable supply chain, reviewed the 10 principles of the United Nation Global Compact and their connections to promoting supply chain sustainability, as well as the three components of a sustainable supply chain: green supply chain, transparent supply chain and circular supply chain. Based on the results of a SLR and a real case of Kering Group, the paper identified 12 innovative ideas for a sustainable fashion supply chain: (1) biodegradable and natural materials, (2) textile recycling, (3) nearshoring, (4) artificial intelligence (AI), (5) robot, (6) 3D printing, (7) Internet of Things, (8) blockchain, (9) reverse resources;(10) bio-packaging, (11) augmented reality (AR) and virtual reality (VR) and (12) digital runway.Research limitations/implicationsThe epidemiological situations of the COVID-19 pandemic and the corresponding innovative ideas for a sustainable supply chain may change over time. While this paper provides a comprehensive literature review and case study, further research is needed to evaluate the effectiveness of current efforts in the development of a sustainable fashion supply chain through collecting both quantitative and qualitative data.Practical implicationsEmbracing the issues from the COVID-19 pandemic, the results of this study are further explained by the case of Kering Group in the fashion industry. The managerial implications of the results and discussion are the need to adopt innovative ideas for a more sustainable fashion supply chain in the future. The success of sustainable supply chains work by leveraging the best available technologies such as robot, 3D printing, AR and VR, setting consistent standards for sustainability such as Environmental Profit and Loss and Kering & Textile Exchange and communicating with all parties throughout the supply chain, such as blockchain and AI. Investment in developing technology and innovative ideas will be the key of future to supply chain sustainability. Nonetheless, the specific approach used by each organization must be tailored to its characteristics, goals and circumstances.Social implicationsBringing upon unprecedented challenges, the pandemic has shown both companies and consumers just how fragile our planet is. Thus, to protect our planet in the long run, we need to not only make businesses more sustainable but also live more eco-friendly lifestyles.Originality/valueTo the best of the authors' knowledge, this is the first work that conducts a systemic review of the relevant academic journal articles addressed to the managerial audience on sustainable (fashion) supply chain. In addition, this paper also adds some consideration to this gap by exploring the innovative ideas for a sustainable fashion supply chain in the future and using a case to illustrate how these ideas can be put in a real-life context. This paper discusses the impact of COVID-19 on different stages of the supply chain and gives innovative ideas that can be used in response to the changing epidemiological situations of the pandemic.
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The article focuses on how the Covid-19 pandemic has transformed activities to become more inclusive of remote learners with acrylic sheet nets for heat bending, and modeling of repeated patterns for K-12 students within the makerspace pre- and post-pandemic manufacturing. It further explains the activity, STEM education, how the activity ensures accessibility for all learners, and how pandemic activities influenced the development of each activity.
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Background: Oroantral communication can occur due to maxillectomy defects, jeopardizing the integrity and function of oral cavity. It is an interdisciplinary challenge to restore these by surgery and prosthetics since many facets need to be addressed, such as speech, deglutition, mastication, aesthetics and psychological distress. Rationale: Surgical repair of maxillectomy defects is not always achievable due to various reasons such as poor systemic health, advanced age etc. Thus prosthetic rehabilitation becomes the most suitable treatment option. Relevance for Patients: Post COVID-19 mucormycosis has seen a surge in the past two years. It is an opportunistic fungal infection in humans infecting intracranial structures by direct invasion in the blood stream. Fundamental goal of prosthetic rehabilitation is the closure of oronasal communication and restoring it functionally thereby improving quality of life for the patient. CAD/CAM (computer aided design/computer aided milling) technology was employed to fabricate a milled framework for maxillary obturator in the most innovative way using PEEK (Polyether ether ketone). Result(s): PEEK material due to its excellent biocompatibility ensured a light weight prosthesis for the large maxillectomy defect and closure of the patency was achieved by the obturator framework.Copyright © 2022 Authors. All rights reserved.
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The substantial applicability of technological advancements to the healthcare sector and its allied segments are on the verge of questioning the abilities of hospitals, medical institutions, doctors and clinical pathologists in delivering world class healthcare facilities to the global patient community. Investigative works pertinent to the role played of technological advancements in the healthcare sector motivated this work to be undertaken. Part-I of the review addressed the applicable role play of advanced technologies such as Artificial intelligence, Big-data, Block chain, Open-Source and Cloud Computing Technologies, etc., to the healthcare sector and its allied segments. The current Part-II manuscript is critically focused upon reviewing the sustainable role of additional disrupting technologies such as Robotics, Drones, 3D-Printing, IoT, Virtual/Augmented/Mixed Reality, etc., to uncover the vast number of implicit problems encountered by the clinical community. Investigations governing the deployment of these technologies in various allied healthcare segments are highlighted in this manuscript. Subsequently, the unspoken challenges and remedial future directions are discussed thereof.
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In modern clinical decision-support algorithms, heterogeneity in image characteristics due to variations in imaging systems and protocols hinders the development of reproducible quantitative measures including for feature extraction pipelines. With the help of a reader study, we investigate the ability to provide consistent ground-truth targets by using patient-specific 3D-printed lung phantoms. PixelPrint was developed for 3D-printing lifelike computed tomography (CT) lung phantoms by directly translating clinical images into printer instructions that control density on a voxel-by-voxel basis. Data sets of three COVID-19 patients served as input for 3D-printing lung phantoms. Five radiologists rated patient and phantom images for imaging characteristics and diagnostic confidence in a blinded reader study. Effect sizes of evaluating phantom as opposed to patient images were assessed using linear mixed models. Finally, PixelPrint's production reproducibility was evaluated. Images of patients and phantoms had little variation in the estimated mean (0.03-0.29, using a 1-5 scale). When comparing phantom images to patient images, effect size analysis revealed that the difference was within one-third of the inter- and intrareader variabilities. High correspondence between the four phantoms created using the same patient images was demonstrated by PixelPrint's production repeatability tests, with greater similarity scores between high-dose acquisitions of the phantoms than between clinical-dose acquisitions of a single phantom. We demonstrated PixelPrint's ability to produce lifelike CT lung phantoms reliably. These phantoms have the potential to provide ground-truth targets for validating the generalizability of inference-based decision-support algorithms between different health centers and imaging protocols and for optimizing examination protocols with realistic patient-based phantoms. Classification: CT lung phantoms, reader study.
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Non-woven disposable masks play a unique role in reducing the COVID-19 pandemic threat in transmission between people, but the huge amount of disposable non-woven masks generated every day are currently posing a serious challenge to our environment on a global-wide scale. In line with this emerging problem, a series of recycling processes were designed and conducted to evaluate the performance of material recovered from those waste masks for potential use in three-dimensional (3D) printing. A composite filament from recycled polypropylene (rPP) and an additive material, glass fiber (GF), was fabricated by melt-blending processing followed by single-screw extrusion. A variety of material properties, including the chemical/mechanical/microstructure property, thermal stability, printability, rheology performance, and geometrical accuracy toward GF/rPP composite filaments, were comprehensively analyzed. Our results demonstrated that two important mechanical properties, the compression strength and the tensile strength, to a 3D printed object by fused deposition modeling (FDM) from the GF/rPP composite were significantly higher than that of a FDM 3D printed object from GF/polypropylene composites. The specific warpage parameter (Wsp) and the surface roughness (Sa) for a 3D printed object from the GF/rPP composite at 30 wt% GF additive would have printing accuracy of 0.54% +/- 0.0014 and 21.1 +/- 0.76 mu m, respectively, and no clogging phenomenon was observed in the printer nozzle channel during the printing processing, suggested that this recycling method for a large number of non-woven waste masks was potentially applicable in serving as a FDM 3D printing material.
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Introduction During the COVID-19 pandemic, public health had advised practicing social distancing which led to the temporary shutdown of simulation laboratories or centralized simulation-based education model, shared spaces that healthcare workers such as paramedics use to train on important hands-on clinical skills for the job. One such skill is intraosseous (IO) access and infusion, the delivery of fluids and medication through the marrow or medullary cavity of the bone which provides fast and direct entry into the central venous system. This skill is critical in emergencies when peripheral access is not immediately available. To continue the training of paramedics in life-saving skills like IO infusion in the post-pandemic era, a decentralized simulation-based education (De-SBE) model was proposed. The De-SBE relies on the availability of inexpensive and flexible simulators that can be used by learners outside of the simulation laboratory. However, to date, there is a paucity of simulation design methods that stimulate creativity and ideation, and at the same time, provide evidence of validity for these simulators. Our exploratory research aimed to test a novel approach that combines components of development-related constraints, ideation, and consensus (CIC) approach to develop and provide content validity for simulators to be used in a De-SBE model. Materials and methods The development of the IO simulators was constrained to follow a design-to-cost approach. First, a modified design thinking session was conducted with three informants from paramedicine and medicine to gather ideas for the development of two IO simulators (simple and advanced). Next, to sort through, refine, and generate early evidence of the content validity of the simulators, the initial ideas were integrated into a two-round, modified Delphi process driven by seven informants from paramedicine and medicine. In addition, we surveyed the participants on how well they liked the CIC approach. Results The CIC approach generated a list of mandatory and optional features that could be added to the IO simulators. Specifically, six features (one mandatory and four optional) for the existing simple IO simulator and eight (three mandatories and five optional) for the advanced IO simulators were identified. Following a design-to-cost approach, the features classified as mandatory for the simple and advanced IO simulators were integrated into the final designs to maintain the feasibility of production for training purposes. The surveys with the participants showed that the CIC approach worked well in the group setting by allowing for various perspectives to be shared freely and ending with a list of features for IO simulator designs that could be used in the future. Some improvements to the approach included flagging for potential users to determine what works best concerning the mode of delivery (online or in person), and duration of the stages to allow for more idea generation. Conclusion The CIC approach led to the manufacturing of simple and advanced IO simulators that would suit a training plan catered to teach the IO access and infusion procedure decentrally to paramedics-in-training. Specifically, they have been designed in a manner that allows them to be made easily accessible to the trainees i.e., low costs and high mobility, and work cohesively with online learning management systems which further facilitates the use of a De-SBE model.
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The restoration of speech, deglutition, mastication, and respiration in patients with bimaxillary resection involving the maxillae, hard and soft palates, and paranasal sinuses poses a significant challenge. This clinical report describes the prosthodontic management of a patient with bilateral maxillectomy caused due to post-COVID-19 mucormycosis. A patient-specific implants (PSI) that matched the remnants of the zygoma complex was designed to improve the patient's severely impaired speech and swallowing. The patient's postsurgical anatomy was first visualized using three-dimensional computed tomography data. Following that, a customized zygoma-supported titanium framework was designed to support the prosthesis based on the data. Two weeks after the framework was installed, an open-tray impression was made and the prosthesis was fabricated. These findings suggest that PSI-retained prosthesis can be considered in cases with severely compromised maxillary bone anatomy, impaired oral functioning, and no viable conventional reconstruction options.
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This industry update covers the period from January 1 through January 31, 2022, and is based on information sourced from company press releases, scientific literature, patents and news websites. January 2022 saw Janssen and Midatech expand their collaboration on bioresorbable polymer microsphere technology for drug delivery. Takeda announced its plans to acquire UK-based Adaptate Biotherapeutics and Gandeeva raised further investment funds to support its drug discovery and development platform focused on the evaluation of protein-drug interactions. Biogen announced that it will sell its stake in a biosimilars joint venture and ABL Bio and Sanofi announced a collaboration around a novel treatment for Parkinson's disease. New regulatory announcements this month included US FDA approvals of a new insomnia treatment for Idorsia and a treatment for atopic dermatitis developed by Pfizer. Insulet gained FDA clearance for a closed-loop insulin pump and Ascendis Pharma followed up its United States approval last year for a once-weekly treatment for growth hormone deficiency with European approval. Pfizer and Ionis announced the discontinuation of the clinical development of a novel cardiovascular drug. In terms of collaborations, Novartis and Alnylam announced they will work together to explore targeted therapies to restore liver function;Scorpion Therapeutics partnered with AstraZeneca to develop novel cancer treatments and Nutriband Inc. and Kindeva Drug Delivery will work together to develop a transdermal fentanyl patch. Collaborations were also announced between Century Therapeutics and Bristol Myers Squibb and Lilly and Entos Pharmaceuticals in the areas of stem cell therapies for cancer treatment and neurology, respectively. A team from the Massachusetts Institute of Technology reported progress in developing oral mRNA treatments and West Pharmaceutical Services published a blog describing the development of a proof-of-principle system for a closed-loop feedback system targeting opioid overdose. A report on the BBC website highlighted the benefits of more sustainable inhalers.
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SESSION TITLE: Great Procedural Cases: Fire, Ice, Struts, Valves, and Glue SESSION TYPE: Case Reports PRESENTED ON: 10/19/2022 11:15 am - 12:15 pm INTRODUCTION: While rarely reported, there has been an increasing incidence of tracheobronchial mucormycosis in patients infected with COVID-19, especially when associated with uncontrolled diabetes mellitus. We describe a complex case of central airway obstruction due to mucormycosis that was managed with a custom 3D printed silicone Y-stent. CASE PRESENTATION: A 54-year-old woman with diabetes, prior COVID-19 infection, presented with dyspnea and cough. She underwent a CT chest which showed left lower lobe atelectasis and left main stem bronchus (LMSB) obstruction. Bronchoscopy showed a large exophytic mass extruding from the LMSB. There was necrosis leading to a fistula between the left and right mainstem bronchi distal to the carina. Pathology of the mass showed necrotic bronchial mucosa and cartilage with invasive mucormycosis. She underwent placement of a 10X40mm covered stent in LMSB. However, due to granulation tissue and recurrent mucus plugging, she needed a bronchoscopy every 3-4 weeks and multiple stent revisions. Despite these interventions, her respiratory symptoms did not change significantly. Ultimately, her airway was also complicated by tracheobronchomalacia (TBM) of the right main stem bronchus (RMSB). Subsequently a custom printed 3D silicone Y-stent from VisionAir was placed that allowed successful recanalization of LMSB and management of the TBM of RMSB simultaneously. The patient reported significant improvement in respiratory symptoms. She was maintained on Isavuconazole for mucormycosis suppression therapy DISCUSSION: Mucormycosis infections commonly occur in the pulmonary or rhino-cerebral region with high morbidity and mortality. Mucor can involve the major airways as well as rarely invade the tracheal cartilage leading to TBM. There is often granulation tissue, gray-white mucoid material, with edematous and necrotic airway. This can be associated with complex central airway obstruction. While the covered tracheobronchial stent (Bonastent) allowed us to recanalize LMSB, it was complicated by obstructive granulation tissue formation and mucous plugging requiring frequent stent revision to maintain stent patency. At the same time, the TBM in the right airway was contributing significantly to dyspnea and cough. While a standard silicon Y stent was considered for the management of bilateral mainstem bronchi disease, due to the significant distortion in airway anatomy this was not an ideal option. By using the VisionAir stent, we placed a custom stent that would best fit her airway anatomy. The patient had sustained improvement in her symptoms for several months following the procedure. CONCLUSIONS: This is the first case report of a custom designed and 3D printed stent for the treatment of benign central airway obstruction caused by tracheobronchial mucormycosis. Custom stents are a promising tool to individualize and tailor intervention for patients with complex airway anatomy. Reference #1: Tracheal Mucormycosis Pneumonia: A Rare Clinical Presentation. Satyawati Mohindra, Bhumika Gupta, Karan Gupta and Amanjit Bal. Respiratory Care November 2014, 59 (11) e178-e181 Reference #2: Keshishyan S, DeLorenzo L, Hammoud K, Avagyan A, Assallum H, Harris K. Infections causing central airway obstruction: role of bronchoscopy in diagnosis and management. J Thorac Dis. 2017;9(6):1707-1724. doi:10.21037/jtd.2017.06.31 Reference #3: Leon CA, Inaty H, Urbas A, Grafmeyer K, Machuzak M, Sethi S, Gildea T. Early outcomes with 3D printing and airway stents. CHEST 2019 annual meeting s. DISCLOSURES: No relevant relationships by Sisir Akkineni No relevant relationships by Kelly Daymude No relevant relationships by Wissam Jaber No relevant relationships by Abesh Niroula
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Viral infections cause damage to various organ systems by inducing organ-specific symptoms or systemic multi-organ damage. Depending on the infection route and virus type, infectious diseases are classified as respiratory, nervous, immune, digestive, or skin infections. Since these infectious diseases can widely spread in the community and their catastrophic effects are severe, identification of their causative agent and mechanisms underlying their pathogenesis is an urgent necessity. Although infection-associated mechanisms have been studied in two-dimensional (2D) cell culture models and animal models, they have shown limitations in organ-specific or human-associated pathogenesis, and the development of a human-organ-mimetic system is required. Recently, three-dimensional (3D) engineered tissue models, which can present human organ-like physiology in terms of the 3D structure, utilization of human-originated cells, recapitulation of physiological stimuli, and tight cell-cell interactions, were developed. Furthermore, recent studies have shown that these models can recapitulate infection-associated pathologies. In this review, we summarized the recent advances in 3D engineered tissue models that mimic organ-specific viral infections. First, we briefly described the limitations of the current 2D and animal models in recapitulating human-specific viral infection pathology. Next, we provided an overview of recently reported viral infection models, focusing particularly on organ-specific infection pathologies. Finally, a future perspective that must be pursued to reconstitute more human-specific infectious diseases is presented. Copyright © 2022 The Authors
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Additive manufacturing (AM) technologies are growing more and more in the manufacturing industry;the increase in world energy consumption encourages the quantification and optimization of energy use in additive manufacturing processes. Orientation of the part to be printed is very important for reducing energy consumption. Our work focuses on defining the most appropriate direction for minimizing energy consumption. In this paper, twelve machine learning (ML) algorithms are applied to model energy consumption in the fused deposition modelling (FDM) process using a database of the FDM 3D printing of isovolumetric mechanical components. The adequate predicted model was selected using four performance criteria: mean absolute error (MAE), root mean squared error (RMSE), R-squared (R2), and explained variance score (EVS). It was clearly seen that the Gaussian process regressor (GPR) model estimates the energy consumption in FDM process with high accuracy: R2 > 99%, EVS > 99%, MAE < 3.89, and RMSE < 5.8.