Journal articles: 'FEA'

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Jin, Wan-Ting, Min Yang, Shuang-Shuang Zhu, and Zhao-Hui Zhou. "Bond-valence analyses of the crystal structures of FeMo/V cofactors in FeMo/V proteins." Acta Crystallographica Section D Structural Biology 76, no. 5 (April 15, 2020): 428–37. http://dx.doi.org/10.1107/s2059798320003952.

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The bond-valence method has been used for valence calculations of FeMo/V cofactors in FeMo/V proteins using 51 crystallographic data sets of FeMo/V proteins from the Protein Data Bank. The calculations show molybdenum(III) to be present in MoFe7S9C(Cys)(HHis)[R-(H)homocit] (where H4homocit is homocitric acid, HCys is cysteine and HHis is histidine) in FeMo cofactors, while vanadium(III) with a more reduced iron complement is obtained for FeV cofactors. Using an error analysis of the calculated valences, it was found that in FeMo cofactors Fe1, Fe6 and Fe7 can be unambiguously assigned as iron(III), while Fe2, Fe3, Fe4 and Fe5 show different degrees of mixed valences for the individual Fe atoms. For the FeV cofactors in PDB entry 5n6y, Fe4, Fe5 and Fe6 correspond to iron(II), iron(II) and iron(III), respectively, while Fe1, Fe2, Fe3 and Fe7 exhibit strongly mixed valences. Special situations such as CO-bound and selenium-substituted FeMo cofactors and O(N)H-bridged FeV cofactors are also discussed and suggest rearrangement of the electron configuration on the substitution of the bridging S atoms.

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Allen, Michael D., José A. del Campo, Janette Kropat, and Sabeeha S. Merchant. "FEA1, FEA2, and FRE1, Encoding Two Homologous Secreted Proteins and a Candidate Ferrireductase, Are Expressed Coordinately with FOX1 and FTR1 in Iron-Deficient Chlamydomonas reinhardtii." Eukaryotic Cell 6, no. 10 (July 27, 2007): 1841–52. http://dx.doi.org/10.1128/ec.00205-07.

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ABSTRACT Previously, we had identified FOX1 and FTR1 as iron deficiency-inducible components of a high-affinity copper-dependent iron uptake pathway in Chlamydomonas. In this work, we survey the version 3.0 draft genome to identify a ferrireductase, FRE1, and two ZIP family proteins, IRT1 and IRT2, as candidate ferrous transporters based on their increased expression in iron-deficient versus iron-replete cells. In a parallel proteomic approach, we identified FEA1 and FEA2 as the major proteins secreted by iron-deficient Chlamydomonas reinhardtii. The recovery of FEA1 and FEA2 from the medium of Chlamydomonas strain CC425 cultures is strictly correlated with iron nutrition status, and the accumulation of the corresponding mRNAs parallels that of the Chlamydomonas FOX1 and FTR1 mRNAs, although the magnitude of regulation is more dramatic for the FEA genes. Like the FOX1 and FTR1 genes, the FEA genes do not respond to copper, zinc, or manganese deficiency. The 5′ flanking untranscribed sequences from the FEA1, FTR1, and FOX1 genes confer iron deficiency-dependent expression of ARS2, suggesting that the iron assimilation pathway is under transcriptional control by iron nutrition. Genetic analysis suggests that the secreted proteins FEA1 and FEA2 facilitate high-affinity iron uptake, perhaps by concentrating iron in the vicinity of the cell. Homologues of FEA1 and FRE1 were identified previously as high-CO2-responsive genes, HCR1 and HCR2, in Chlorococcum littorale, suggesting that components of the iron assimilation pathway are responsive to carbon nutrition. These iron response components are placed in a proposed iron assimilation pathway for Chlamydomonas.

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Brauer, David J., Gerd Hasselkuß, Sibbele Hietkamp, Herbert Sommer, and Othmar Stelzer. "Lineare Oligophosphaalkane, XI [1] Stabilisierung von Phosphiniden, PH, im Clusteryerband — Röntgenstrukturanalyse von Fe4(CO)10[(μ2-PPri)2CH2](μ2-PPriMe)(μ2-H)(μ4-PH)." Zeitschrift für Naturforschung B 40, no. 7 (July 1, 1985): 961–67. http://dx.doi.org/10.1515/znb-1985-0719.

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Abstract Reaction of HPriP-CH2-PPriH with Fe2(CO)9 in a molar ratio of 1:2 produces a mixture of cluster compounds from which Fe4(CO)10[(μ2-PPri)2CH2](μ2-PPriMe)(μ2-H)(μ4-PH) could be isolated by liquid chromatography. X-ray structural analysis shows a planar trapezoid arrangement for the four iron atoms (Fe1 -Fe2 2,648(1), Fe2 -Fe3 2,790(1), Fe3 -Fe4 2,643(1), Fe1 --Fe4 4,109(1) Å ) capped by the novel bidentate phosphido bridge (μ2-PPri)2CH2 and the unsubstituted phosphinidene, PH( Fe1 - P4 2,284(1), Fe2 - P4 2,410(1), Fe3 - P4 2,405(1), Fe4 - P4 2,288(1), P4 - H1 1,39(4) Å).

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Ashcroft, Francesca. "Slut: Fea." New Writing 6, no. 3 (November 2009): 238–48. http://dx.doi.org/10.1080/14790720903556262.

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Thilmany, Jean. "Fossils and FEA." Mechanical Engineering 134, no. 03 (March 1, 2012): 44–47. http://dx.doi.org/10.1115/1.2012-mar-5.

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This article explores the application of finite element analysis (FEA) in studying the evolution of animals, including dinosaurs. Scientists have applied the method to determine how dinosaurs originally looked and functioned, and how they and other animals changed and evolved through the years. FEA is a useful tool to reconstruct the mechanical behavior of the muscle and skeletal system in zoological and paleontological studies because it is non-invasive and reconstructs stress at multiple sites and depths throughout the skeleton. It can be used to study extinct animals by way of their fossilized remains and can deal with complex geometries and load conditions. FEA is now routinely used to interpret skeletal forms for function in both medical and biological applications. The scientists believe that FEA will hopefully allow to see the effect of eating hard foods, such as the belemnites with their bullet-shaped guards. FEA allows a far more intricate, accurate, and precise picture of the bone to be used in studies.

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Battaglino, Paula, Marcela Lavandera, Romina Pereyra, and Yamile Tournie. "Te llamaré fea." Nimio, no. 7 (September 21, 2020): e026. http://dx.doi.org/10.24215/24691879e026.

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El presente trabajo tiene como objetivo analizar una serie de documentos que se integran bajo la temática mujeres barbudas, pertenecientes al Archivo de Redacción del diario Crónica. Compuesta por fotografías y por recortes periodísticos, esta selección en particular pretende dar cuenta de cómo se construye la otredad en el imaginario popular. En nuestro caso, nos referiremos al uso de imágenes de mujeres con hirsutismo que fueron catalogadas como fenómenos ante los ojos de la sociedad.

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Yang, Jian Guo, Wei Fu, Jia Shuang Gao, Xue Song Liu, Zhi Bo Dong, and Hong Yuan Fang. "Research of the Finite Element Method to Welding Simulation in Virtual Manufacture Environment." Applied Mechanics and Materials 88-89 (August 2011): 735–40. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.735.

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A new thinking was introduced that combine finite element analysis(FEA) for welding process simulation with virtual manufacture(VM), it is significant research according to comparison of FEA for welding process and VM, parameters input by FEA pre-processor and by VR technology, FEA results cab be shown by FEA post-processor and by VR technology. The framework for welding FEA based on VM was proposed and some key technologies were also discussed.

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De Vleeschouwer, M., J. Dille, and P. Diamantopoulos. "Customised FEA/CFD modelling." Journal of Biomechanics 39 (January 2006): S423. http://dx.doi.org/10.1016/s0021-9290(06)84721-4.

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Deitz, Dan. "FEA Makes Airframes Safer." Mechanical Engineering 120, no. 01 (January 1, 1998): 64–65. http://dx.doi.org/10.1115/1.1998-jan-3.

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This article focuses on data gathered during the controlled destruction of a Boeing 747 airliner are helping engineers to identify ways of strengthening aircraft to make them less vulnerable to an internal explosion. Even though it may not help engineers understand the specific events in the crash of Flight 800, a controlled explosion of a Boeing 747 by the British Defence Evaluation Research Agency (DERA) , based in London, could point the way to controlling the damage from airliner explosions in the future. The 747-1 00 had been an attraction at the Bruntingthorpe Aerodrome in Leicestershire, England, before it was purchased by the British Ministry of Defence and the US Federal Aviation Administration (FAA). Initially, the meshes were too coarse for the dynamic analyses to be used in the test, so engineers refined them accordingly in the blast area. Using new features in MSC/DYTRAN 4, the team will model the airframe as a series of layers, which is representative of the lining concepts to be tested.

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Dietz, Dan. "Preventing Rollover with FEA." Mechanical Engineering 120, no. 11 (November 1, 1998): 76–77. http://dx.doi.org/10.1115/1.1998-nov-4.

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This article discusses that event-simulation software can help engineers improve the safety of a military transport vehicle, while reducing the number of prototypes and shortening the design cycle. US Army's Tank and Automotive Command (TACOM) unit brought the truck's frame design to AM General with recommendations for a rollover protection structure. The AM General design team created plans for a T-shaped configuration to be added to the original truck frame that would protect occupants during a rollover accident. AM General stress analyst performed finite element analysis with Mechanical Event Simulation, including both Linear and Nonlinear Stress Analysis software from Algor Inc. of Pittsburgh. When the prototype asses its laboratory test, AM General will immediately manufacture an additional 20 units for both physical and field testing. This may include an armored variant for field testing in Bosnia, an area with rugged topography. TACOM plans to modify other M 939/A1 / A2 series trucks on an as-needed basis; they will install the rollover protection structures on trucks in use where conditions like rough terrain make rollover accidents more likely.

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Thilmany, Jean. "FEA in a Snap." Mechanical Engineering 123, no. 07 (July 1, 2001): 60–62. http://dx.doi.org/10.1115/1.2001-jul-3.

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This article describes application of finite element analysis (FEA) in snap tool, developed by Snap-on Inc. in Kenosha, Wisconsin. FEA has been finding its way down the engineering chain with the help of easy-to-use software. FEA is the use of a complex system of points—called nodes—that form a grid, or mesh, across a model. The mesh contains the material and structural properties that define how the part will react to certain load conditions. Snap-on has discovered that if engineers analyze their products as they design them, they understand their products better and face fewer project delays. Engineers who use FEA have found that analyzing as they design parts saves development time. The Snap-on power tools group's move to integrated design and analysis should be complete by year's end. Mechanical failure often results from a variety of forces, including motion, stress, thermal and fluid-flow effects, and vibration. Multiphysics applications give engineers the ability to run all these analyses at the same time, to determine how the tower would withstand real-world conditions that occur simultaneously.

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Thilmany, Jean. "FEA Finds its Place." Mechanical Engineering 124, no. 10 (October 1, 2002): 51–53. http://dx.doi.org/10.1115/1.2002-oct-2.

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This article focuses on engineers who are examining innovative ways to fold analyses into their design cycles. Although many engineering companies currently use finite element analysis (FEA) software programs, the practice of coupling analysis with everyday design is still relatively new. Engineers today are responsible for much of the analysis done on their own designs. Increasingly, engineers have to judge for themselves, based on their own analyses, which systems or components to include in a product and how best to tweak a part if analysis shows it does not meet specifications. For some engineers the fact that the newer FEA software packages are easy to use just plain trumps the worry that engineer-run computer analyses might not be as complete, or yield as many answers, as simulations carried out by a formally trained analyst. As FEA becomes more commonly available and more useful to mechanical engineers not specifically trained in the process, companies find new uses for the technology.

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Guilhon, Carolina Carvalho, Alan Silva Minho, Marc Pouliot, Fabio Boylan, and Patricia Dias Fernandes. "Tibouchina granulosa Leaves Present Anti-Inflammatory Effect." Pharmaceuticals 15, no. 12 (November 24, 2022): 1458. http://dx.doi.org/10.3390/ph15121458.

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The ethanol extract (EE) prepared from the leaves of Tibouchina granulosa, and its fraction in ethyl acetate (fEA) were evaluated concerning their capacity to reduce inflammation in different experimental models. fEA was also studied concerning its chemical constituents. EE and fEA were assayed for their anti-inflammatory potential, using formalin-induced licking behavior and carrageenan-induced inflammation into the subcutaneous air pouch (SAP) models. Reduction in polymorphonuclear cells (PMN) activation was performed in freshly isolated PMN. Chromatographic analysis of fEA was performed by HPLC-DAD. Hispiduloside was isolated as the main constituent in fEA, and its quantity was estimated to be 39.3% in fEA. EE (30 mg/kg) significantly reduced the second phase of formalin-induced licking. fEA demonstrated a reduction in leukocyte migration into the SAP. EE and fEA drastically reduced cytokines (TNF-α, IL-1β, and IFN-γ), nitric oxide (NO) production, in vitro PMN migration induced by C5a and IL-8, and TNF-α and IL-1β gene expression. Taken together, our data indicate that either ethanol extract or its fEA fraction from leaves of T. granulosa present an anti-inflammatory effect, contributing to the pharmacological and chemical knowledge of this species and confirming the rationale behind its traditional use.

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Lu, S. C., M. J. Saran, and R. A. Miller. "Integration of CAD and FEA for Concurrent Engineering Design of Sheet Stamping." Journal of Manufacturing Science and Engineering 118, no. 3 (August 1, 1996): 310–17. http://dx.doi.org/10.1115/1.2831030.

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The tedious process of building an input model and of manual communication between CAD and Finite Element Analysis (FEA) significantly restricts the designers from using FEA, particularly in preliminary design. Most of the previous works concentrate on expediting this process by interfacing CAD and FEA. This paper propose full integration of FEA simulation code within a CAD system, thus several problems are avoided. The section-based FEA is used as better suited to early design. It requires, comparing to the 3-D FEA, development of additional CAD functions to extract appropriate sections from the CAD model. The proposed integrated system allows for rapid use of the FEA and unifies the design environment to avoid inconsistency. It provides a mechanism to specify the part orientation relative to the punch traveling direction to support tipping. It also extracts the geometrical data of a specified section to automatically build and store a FEA input model. The numerical simulation of the process can be then performed without exiting the CAD system. Both existing as well as newly developed CAD functions, needed for the proposed integration system, are presented. The feasibility and advantages of such integration is demonstrated on the developed prototype system.

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HEIGL, Andres, Mario LACHAT, Thomas LATTMANN, Thomas LÜSCHER, and Matthias BARTON. "Acute effects of 17 β-oestradiol on functional activity of endothelin-converting enzymes in human arteries and veins." Clinical Science 103, s2002 (September 1, 2002): 438S—441S. http://dx.doi.org/10.1042/cs103s438s.

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In this study, we investigated the short-term effect of 17β-oestradiol on functional enzyme activity (FEA) of endothelin-converting enzymes in vitro using human internal mammary arteries (n = 7–8) and human saphenous veins (n = 16–17) obtained from patients undergoing coronary artery bypass graft surgery. Vascular rings were preincubated with either solvent control (0.2% ethanol) or 17β-oestradiol (1µM) for 30min and concentration–response curves to big ET-1 (0.1–100nM) or ET-1 (0.1–100nM) were performed. FEA for each concentration was calculated as the percentage activity [(contraction to big ET-1/contraction to ET-1)×100] normalized to KCl (100mM). In control experiments, at low concentrations FEA was lower in internal mammary arteries than in saphenous veins (P<0.05). While FEA was suppressed in saphenous veins by 10nM (4±1 versus 22±5%, P<0.01) and 30nM (26±4 versus 48±7%, P<0.05) 17β-oestradiol, FEA was markedly enhanced in internal mammary arteries by 10nM (33±12 versus 1±1%, P<0.001) and 30nM (44±12 versus 8±3%, P<0.01) 17β-oestradiol . FEA was not affected by 100nM 17β-oestradiol. These results demonstrate for the first time that short-term exposure to 17β-oestradiol affects FEA in vitro. Human internal mammary arteries have lower FEA than the saphenous veins, but FEA is differentially affected by acute exposure to 17β-oestradiol in human arteries and veins. Whether changes in FEA play a role in the vascular effects of 17β-oestradiol in vivo remains to be determined.

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Xu, Wei, Xiangyu Bao, Genglin Chen, and Ingo Neumann. "Intelligent Calibration of Static FEA Computations Based on Terrestrial Laser Scanning Reference." Sensors 20, no. 22 (November 11, 2020): 6439. http://dx.doi.org/10.3390/s20226439.

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The demand for efficient and accurate finite element analysis (FEA) is becoming more prevalent with the increase in advanced calibration technologies and sensor-based monitoring methods. The current research explores a deep learning-based methodology to calibrate FEA results. The utilization of monitoring reference results from measurements, e.g., terrestrial laser scanning, can help to capture the actual features in the static loading process. We learn the deviation sequence results between the standard FEA computations with the simplified geometry and refined reference values by the long short-term memory method. The complex changing principles in different deviations are trained and captured effectively in the training process of deep learning. Hence, we generate the FEA sequence results corresponding to next adjacent loading steps. The final FEA computations are calibrated by the threshold control. The calibration reduces the mean square errors of the FEA future sequence results significantly. This strengthens the calibration depth. Consequently, the calibration of FEA computations with deep learning can play a helpful role in the prediction and monitoring problems regarding the future structural behaviors.

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Alawneh, Obidah, Xianzhi Zhong, Reza Faieghi, and Fengfeng Xi. "Finite Element Methods for Modeling the Pressure Distribution in Human Body–Seat Interactions: A Systematic Review." Applied Sciences 12, no. 12 (June 17, 2022): 6160. http://dx.doi.org/10.3390/app12126160.

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The objective of this systematic review is to investigate the various approaches that have been undertaken in finite element analysis (FEA) of human–seat interactions and synthesize the existing knowledge. With advances in numerical simulation and digital human modeling, FEA has emerged as a powerful tool to study seating comfort and discomfort. FEA employs various biomechanical factors to predict the contact stress and pressure distribution in a particular seat design. Given the complexity of human–seat interaction, several modeling and processing steps are required to conduct realistic FEA. The steps of how to perform an FEA simulation on human–seat interactions, the different models used, the model mesh compositions, and the material properties are discussed and reviewed in this paper. This can be used as a guideline for future studies in the context of FEA of human–seat interactions.

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Akhverdyan, Y., E. Papichev, В. Zavodovsky, L. Seewordova, and J. Polyakova. "POS0169 FETUIN-A AS A MARKER OF OSTEOPOROSIS AND OSTEOPOROTIC FRACTURES IN PATIENTS WITH RHEUMATOID ARTHRITIS." Annals of the Rheumatic Diseases 80, Suppl 1 (May 19, 2021): 297.2–297. http://dx.doi.org/10.1136/annrheumdis-2021-eular.753.

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Background:The main mechanism of the effect of fetuin-A (FeA) on bone metabolism is its ability to bind calcium and proteins of the TGF-β family. It has been proven that the optimal concentration of TGF-β is necessary for the differentiation of bone tissue, and a high concentration inhibits bone mineralization. Thus, adequate osteogenesis is based on a complex balance between FeA and TGF-β levels. It can be assumed that the determination of the FeA level in the blood of patients with rheumatoid arthritis (RA) will help to optimize the diagnosis and predict the severity of osteoporosis (OP).Objectives:to study the possibility of predicting the development of osteoporosis and osteoporetic fractures in patients with RA, depending on the level of FeA in blood serum.Methods:We examined two groups of patients (52 patients with RA complicated by OP, 58 patients with RA without OP) and 30 apparently healthy individuals. The age of the surveyed ranged from 18 to 72 years, the average duration of the disease was 7.53±0.89 years. In both groups, the FeA level was determined by an indirect enzyme-linked immunosorbent assay using a commercial test. Bone mineral density (BMD) was also measured in both groups (Lunar DPX-NT GE).Results:The average FeA level in the group of RA patients was lower than in the group of conventionally healthy individuals (731.21±109.9 μg/ml and 812.9±76.2 μg/ml, respectively; F=13.34; p=0,0004). The normal FeA level was calculated using the formula M±2σ in the group of apparently healthy individuals and ranged from 653.55 μg/ml to 972.19 μg/ml.A decreased level of FeA was found in 20 patients (86.96%) in the group of patients with OP and only in 3 (13.04%) patients with RA who did not suffer from OP (p<0.001). It can be concluded that patients with RA and a low concentration of FeA in the blood serum have a higher risk of developing OP.In the group of patients with normal FeA level, osteoporetic fractures were observed in 12 (13.79%) patients and were absent in 75 (86.21%) patients (p<0.001). Thus, RA patients with normal serum FeA levels have a lower risk of osteoporetic fractures.We also found a positive significant correlation between the level of FeA and BMD in the femoral neck area. In the group of patients with a reduced FeA level (23 people), the mean BMD values were 0.732±0.022 g/cm2, and in the group of patients with a normal FeA level (87 patients) - 0.890±0.014 g/cm2 (p<0.001, F=27.663). The obtained values are in agreement with the literature data on the effect of the serum FeA concentration on the BMD values.Conclusion:We consider it expedient to determine the serum FeA concentration in patients with RA. At a FeA level of 653.55 μg/ml and below, a higher risk of developing OP and osteoporetic fractures can be predicted. In this case, the patient is shown a standard examination for osteoporosis. At values of 653.55 μg/ml and above, a more expectant management of the patient is allowed. Thus, by determining the serum concentration of FeA, it is possible to implement an integrated approach to the patient and to optimize the schemes for the diagnosis of OP in patients with RA.Disclosure of Interests:None declared

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Orzada, Belinda T., and M. Jo Kallal. "FEA Consumer Needs Model: 25 Years Later." Clothing and Textiles Research Journal 39, no. 1 (October 20, 2019): 24–38. http://dx.doi.org/10.1177/0887302x19881211.

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This systematic review examined use of Lamb and Kallal’s (1992) Functional, Expressive, and Aesthetic (FEA) Consumer Needs Model and integrated Apparel Design (AD) Framework within scholarly journal publications. The 126 peer-reviewed articles citing Lamb and Kallal published in English between 1992 and 2017 were the focus of this article. We identify the breadth of citations across the 25-year time span, examine application of the FEA Model and/or the AD Framework, and identify and confirm use of the FEA Model as a theoretical framework. Authors used the consumer needs focus to assess FEA criteria for products targeted to various consumer groups and product types. Findings indicate that the FEA Model has been applied under a variety of conditions to understand consumer needs, inform the design process, confirm the utility of the model, and demonstrate the strength and flexibility of the FEA Model. Future research directions are suggested.

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Bicalho, AA, ADCM Valdívia, BCF Barreto, D. Tantbirojn, A. Versluis, and CJ Soares. "Incremental Filling Technique and Composite Material—Part II: Shrinkage and Shrinkage Stresses." Operative Dentistry 39, no. 2 (March 1, 2014): e83-e92. http://dx.doi.org/10.2341/12-442-l.

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SUMMARY Objectives Finite element analysis (FEA) was used to study polymerization shrinkage stress in molars restored with composites and to correlate those stresses with experimentally measured tooth deformation. Methods Three composites (Filtek LS, Aelite LS Posterior, Filtek Supreme) and three filling techniques (bulk, 2.0-mm increments, and 1.0-mm increments) for restoring a molar were simulated in a two-dimensional FEA. Polymerization shrinkage was modeled using post-gel shrinkage, which was measured using the strain gauge technique (n=10). Cuspal tooth deformation, measured at the buccal and lingual surfaces with strain gauges in a laboratory study, was used to validate the analysis. Residual shrinkage stresses were expressed in modified von Mises equivalent stresses. Linear Pearson correlations were determined between the laboratory and FEA results. Results Post-gel shrinkage values (in volume %) were: Filtek LS (0.11 ± 0.03) < Aelite LS Posterior (0.51 ± 0.02) < Filtek Supreme (0.62 ± 0.09). The 1.0-mm increment filling caused substantially higher stresses and strains in the cervical enamel region. Significant correlations were found between: elastic modulus and FEA strain, elastic modulus and FEA stress, post-gel shrinkage and FEA strain, post-gel shrinkage and FEA stress, FEA strain and cuspal deformation by strain gauge, and FEA stress and cuspal deformation by strain gauge (p<0.05). Conclusions Increasing the number of increments and high post-gel shrinkage and/or elastic modulus values caused higher stresses in the remaining tooth structure and tooth/restoration interface. Cuspal deformation measured with the strain gauge method validated the finite element analyses.

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Thornton, Jack. "The Question of Credibility." Mechanical Engineering 132, no. 05 (May 1, 2010): 40–45. http://dx.doi.org/10.1115/1.2010-may-4.

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This article presents an overview of capabilities and applications of finite element analysis (FEA) in engineering analysis. FEA is useful wherever the risk of material failure or engineering error has serious consequences—any of the legal, regulatory, and bottom-line ramifications of product failure. They also point out that credibility lies at the heart of every simulation effort, FEA or otherwise. FEA software developers have made it easier to use their software via user-friendly graphical user interfaces. FEA is a uniquely powerful tool for prototyping, as well as reducing the traditional build-test-break cycle from months or even years of trial and error to weeks of digital calculations and validations. Digital prototyping also allows designers to quickly dig into more design options. Most complicated engineering analyses use nonlinear FEA for challenging problems. Nonlinear FEA includes elastic and plastic transformations; tension and compression; buckling; fixed and sliding contacts, fatigue, creep, large deflections and deformations; large strain; hyperelasticity, viscoelasticity, viscoplasticity, and many others. In the real world, each of the linear and nonlinear uses is problematical. Getting them right depends heavily on the analysts, so their skills should be also validated and verified.

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You, Bo, Zhifeng Lou, Yi Luo, Yang Xu, and Xiaodong Wang. "Prediction of Pressing Quality for Press-Fit Assembly Based on Press-Fit Curve and Maximum Press-Mounting Force." International Journal of Aerospace Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/823019.

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In order to predict pressing quality of precision press-fit assembly, press-fit curves and maximum press-mounting force of press-fit assemblies were investigated by finite element analysis (FEA). The analysis was based on a 3D Solidworks model using the real dimensions of the microparts and the subsequent FEA model that was built using ANSYS Workbench. The press-fit process could thus be simulated on the basis of static structure analysis. To verify the FEA results, experiments were carried out using a press-mounting apparatus. The results show that the press-fit curves obtained by FEA agree closely with the curves obtained using the experimental method. In addition, the maximum press-mounting force calculated by FEA agrees with that obtained by the experimental method, with the maximum deviation being 4.6%, a value that can be tolerated. The comparison shows that the press-fit curve and max press-mounting force calculated by FEA can be used for predicting the pressing quality during precision press-fit assembly.

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Morman, Kenneth N., and Tsung Y. Pan. "Application of Finite-Element Analysis in the Design of Automotive Elastomeric Components." Rubber Chemistry and Technology 61, no. 3 (July 1, 1988): 503–33. http://dx.doi.org/10.5254/1.3536198.

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Abstract FEA provides more detailed information for design than can be possibly measured on an actual component part or computed using classical closed-form solutions. Based on this observation, FEA is an ideal means for developing concept designs. No parts are needed for FEA, while conceptual design evaluation using “cut and try” procedures of the past requires that component parts be molded for testing. Once a rough concept has been developed, FEA can be used more effectively to evaluate design modifications in less than the time required by “cut-and-try” iterations. The major benefit that is realizable from FEA is in time savings. Computer costs can be justified by factors such as efficiency and better component reliability and performance.

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Dal Bo, Fabrice, and Frédéric Hatert. "Fe6.67(PO4)5.35(HPO4)0.65and Fe6.23(PO4)4.45(HPO4)1.55: two new mixed-valence iron phosphates." Acta Crystallographica Section C Crystal Structure Communications 68, no. 12 (November 29, 2012): i83—i85. http://dx.doi.org/10.1107/s0108270112043016.

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Two new mixed-valence iron phosphates, namely heptairon pentaphosphate hydrogen phosphate, Fe6.67(PO4)5.35(HPO4)0.65, and heptairon tetraphosphate bis(hydrogen phosphate), Fe6.23(PO4)4.45(HPO4)1.55, have been synthesized hydrothermally at 973 K and 0.1 GPa. The structures are similar to that of FeII3FeIII4(PO4)6and are characterized by infinite chains of Fe polyhedra parallel to the [101] direction. These chains are formed by the Fe1O6and Fe2O6octahedra, alternating with the Fe4O5distorted pentagonal bipyramids, according to the stacking sequence ...Fe1–Fe1–Fe4–Fe2–Fe2.... The Fe3O6octahedra and PO4tetrahedra connect the chains together. FeIIis localized on the Fe3 and Fe4 sites, whereas FeIIIis found in the Fe1 and Fe2 sites, according to bond-valence calculations. Refined site occupancies indicate the presence of vacancies on the Fe4 site, explained by the substitution mechanism FeII+ 2(PO43−) = vacancies + 2(HPO42−).

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Murthy, Shruthi, Mahesh Shivaswamy, Sahana Mahesh, and Srikantha Hanumanthappa. "Simultaneous Removal of Arsenite and Fluoride from Groundwater using Batch Electrochemical Coagulation Process-Role of Aluminum with Iron Electrodes." Oriental Journal of Chemistry 35, no. 1 (February 12, 2019): 85–97. http://dx.doi.org/10.13005/ojc/350110.

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Aluminum(Al) and Iron(Fe) electrodes were used forsimultaneous removal of arsenite and fluoride from groundwater using novel electrochemical coagulation (ECC)with special focus on electrode placing positions of Fe and Al in a batch electrochemical reactor (BECR).A series of experiments were carried out to observe the influence of electrode placing positions on removal. Of the many electrode combination, Al1-Al2-Al3-Al4, Fe1-Fe2-Fe3-Fe4, Al1-Al2-Fe3-Al4 and Fe1-Fe2-Al3-Fe4 are discussed in this paper for pre-optimized operating conditions: 4 plate electrodes, As (III)o: 1.6 mg/L, Fo‾: 12 mg/L, Al3+: 0 mg/L, Feo: 0.061 mg/L, inter-electrode spacing: 5mm, applied cell voltage:16V, SA/V ratio: 40 m2/m3 and electrolysis time of 45 min. For the said electrode combinations,the maximum simultaneous removal of both arsenite and fluoride was obtained for Fe1-Fe2-Al3-Fe4 with 97% arsenite removal from its initial value of 1.6 mg/L; and 100% fluoride removal from its initial value of 12 mg/L within 45 min of ET. Energy consumption was 2.01 KWh/m3 with operating cost of 2.90 Rs./m3.

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Gabriel, P., Y. Fukahori, A. G. Thomas, and J. J. C. Busfield. "FEA MODELING OF SCHALLAMACH WAVES." Rubber Chemistry and Technology 83, no. 4 (December 1, 2010): 358–67. http://dx.doi.org/10.5254/1.3481697.

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Abstract The term Schallamach wave is used to describe a wave of detachment that sometimes arises during the frictional sliding of a smooth rubber surface against a smooth rigid surface. Extensive experimental investigations have been made since Schallamach first observed the waves in 1971; however, no successful finite element analysis (FEA) modeling of the behavior has been reported yet. This work uses an explicit dynamics FEA approach to model both the initiation and progression of waves of detachment for the first time. The use of the finite element method allows for the detailed stress and strain analysis at the interface to be examined. Here, the limitations of using a purely elastic solution in plane-strain are explored. To validate the explicit dynamics approach for modeling the Schallamach waves, another biaxial compressive buckling mode has also been modeled.

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Lima, Iran Siqueira. "Reiniciando Atuária na FEA/USP." Revista Contabilidade & Finanças 17, spe2 (December 2006): 7. http://dx.doi.org/10.1590/s1519-70772006000500001.

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Naveen, Borra. "Piston Analysis using FEA Package." International Journal for Research in Applied Science and Engineering Technology 8, no. 9 (September 30, 2020): 1297–313. http://dx.doi.org/10.22214/ijraset.2020.31670.

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Anwar, A., A. Mekonnen, and P. Diamantopoulos. "FEA modelling of anatomical structures." Journal of Biomechanics 39 (January 2006): S423. http://dx.doi.org/10.1016/s0021-9290(06)84720-2.

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Pawar, Pallavi D., Vinaay G. Patil, and Shantanu S. Kale. "Probabilistic void detection using FEA." Materials Today: Proceedings 5, no. 5 (2018): 13181–90. http://dx.doi.org/10.1016/j.matpr.2018.02.309.

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Verma, Chaman Singh, and Krishnan Suresh. "Towards FEA over Tangled Quads." Procedia Engineering 82 (2014): 187–99. http://dx.doi.org/10.1016/j.proeng.2014.10.383.

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Qian, Z., C. Xue, and S. Pan. "FEA agent for multidisciplinary optimization." Structural and Multidisciplinary Optimization 22, no. 5 (December 1, 2001): 373–83. http://dx.doi.org/10.1007/s00158-001-0157-z.

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aal, Gop, MMM Kumara Varma, and Dr L. Suresh Kumar. "Exhaust Manifold Design – FEA Approach." International Journal of Engineering Trends and Technology 17, no. 10 (November 25, 2014): 485–89. http://dx.doi.org/10.14445/22315381/ijett-v17p295.

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C. Baynham, Tamara, and Stephen B. Knisley. "Combating Heart Disease with FEA." Mechanical Engineering 120, no. 10 (October 1, 1998): 70–72. http://dx.doi.org/10.1115/1.1998-oct-2.

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Biomedical researchers are combining electrostatic finite element analysis (FEA) software with laboratory testing to improve treatments for arrhythmia. The researchers used Algor's Superdraw Ill, a precision finite-element model-building tool, to model a 100-by-100-centimeter sheet, which represented a conductive area of the heart. They applied a resistivity value based on a thickness of 1cm to simulate a uniform resistance over heart fibers. The finite element model showed that current through the element faces at the ends of the electrodes was 151 percent larger than current near the electrode center. The researchers also used FEA to determine that the length of the line electrode does not affect the current distribution. In order to confirm the results of the analysis and further test the positioning of the electrode with respect to heart fibers, researchers applied line electrodes in varying positions andorientations on 13 hearts from New Zealand rabbits. Finally, researchers could determine the distribution of the change in transmembrane voltage from a line electrode, made up of a summation of points, using electrostatic analysis.

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Landgraf, Mathias C. "FEA on the Assembly Line." Mechanical Engineering 121, no. 06 (June 1, 1999): 66–67. http://dx.doi.org/10.1115/1.1999-jun-6.

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Structural and dynamic analyses of a new machining fixture help Porsche AG get production up and running faster. Porsche contracted with KTW Konstruktion Technik K. Weisshaupt GmbH of Friedrichshafen, Germany, to design and produce the fixtures required to hold automobile motor parts in place during drilling and high-precision milling. It has been noted that using a 3-D computer-aided design (CAD) solid modeler can point out weaknesses before a design leaves the computer. In order to avoid the need for costly generations of prototypes prior to the casting process, Speedy Engineering in Immenstaad, Germany, used finite element analysis software to perform linear static and dynamic (vibration) analyses of the motor component fixture geometry within only a few days of its design, to determine displacements and eigenfrequencies of the geometry. The results of the static and dynamic analyses enabled Speedy to specify maximum working loads for •production, which guaranteed success with the first use of this fixture design.

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Nakane, H., K. Yamane, Y. Muto, N. Miyamoto, and H. Adachi. "Emission stability of FEA microtips." Journal of the Society for Information Display 8, no. 3 (2000): 237. http://dx.doi.org/10.1889/1.1828756.

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Novak, Marina, and Bojan Dolšak. "Intelligent FEA-based design improvement." Engineering Applications of Artificial Intelligence 21, no. 8 (December 2008): 1239–54. http://dx.doi.org/10.1016/j.engappai.2008.03.013.

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Arabshahi, S., D. C. Barton, and N. K. Shaw. "Steps towards CAD-FEA integration." Engineering with Computers 9, no. 1 (March 1993): 17–26. http://dx.doi.org/10.1007/bf01198250.

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Yahya, Mohd faizul, and Ungku Nur Ainaa Ungku Mohd Aziz. "Simplified Woven Fabric Geometry for Tensile and Bending Analysis." Scientific Research Journal 19, no. 1 (March 2, 2022): 29. http://dx.doi.org/10.24191/srj.v19i1.13676.

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This paper introduced a simplified finite element analysis (FEA) tensile model to replace the actual prototype with the FEA software. FEA was performed using commercially available ABAQUS software. FEA is a computerized method of predicting how a product reacts to real-world forces, vibrations, heat, fluid flow, and other physical effects. Furthermore, fabric performance can expect by using FEA in textile testing. This project aims to determine the tensile and bending analysis of the plain-woven fabric using ABAQUS software. The fibre modulus was configured 10% and 20% lower than the initially configured modulus. The mesh size is reduced to 20% and 40% to determine the stress and strain curve and analyze the bending model. The results showed that the stress-strain curve would be affected as the modulus and mesh size decreases.

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Thilmany, Jean. "Amazing Analyses." Mechanical Engineering 131, no. 05 (May 1, 2009): 24–27. http://dx.doi.org/10.1115/1.2009-may-1.

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This paper describes features of finite element analysis (FEA), which has become established in nearly all engineering fields, including bioengineering, where it plays a role in studying many parts of the body, such as nasal passages. Advanced FEA programs like Abaqus help engineers evaluate the effect of loading on impeller’s natural frequencies, modelled rotating at 10,000 rpm. FEA software simulates where structures bend or twist and indicates the distribution of stresses and displacements. The everyday FEA software integrated with computer-aided design systems is user friendly and adept at analyzing most FEA engineering problems, when properly programmed by the user. The software programs meant to model complex or unusual problems are built to allow their users to configure the software—to a certain degree—to their own unique needs.

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Akhverdyan, Y., В. Zavodovsky, E. Papichev, J. Polyakova, and L. Seewordova. "AB0160 THE RELATIONSHIP BETWEEN THE LEVEL OF FETUIN-A AND LABORATORY MARKERS OF CONNECTIVE TISSUE DESTRUCTION IN PATIENTS WITH RHEUMATOID ARTHRITIS." Annals of the Rheumatic Diseases 81, Suppl 1 (May 23, 2022): 1210.2–1210. http://dx.doi.org/10.1136/annrheumdis-2022-eular.810.

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BackgroundIt is known that there are biochemical markers of cartilage and bone tissue destruction, which reflect the metabolic processes occurring in tissues. For example, in rheumatoid arthritis (RA), routine markers such as CTX-I, a bone degradation marker (C-terminal telopeptide of type I collagen) and CTX-II, a cartilage degradation marker (C-terminal telopeptide of type II collagen), can be used. Also, to assess the state of cartilage tissue, the determination of type II collagen fragments by Urine CartiLaps is widely used, which allows not only primary diagnosis, but also dynamic monitoring of metabolic processes.ObjectivesThe aim of our research was to study the relationship between the level of fetuin-A (FeA) and laboratory markers of bone and cartilage tissue degradation in the blood serum of patients with RA.MethodsWe observed 110 patients with a verified diagnosis of RA, the control group consisted of 30 practically healthy individuals without joint diseases. The group of patients with RA and the control group were comparable in terms of age (p=0.083), gender (p=0.116), BMI (p=0.302). The diagnosis of RA was based on the clinical classification adopted at the EULAR/ACR in 2010. The level of FeA in the blood serum was determined once by enzyme immunoassay using commercial test systems (Human Fetuin-A ELISA Biovender Cat No. 191-0371).ResultsWe have assessed the FeA level in the group of RA patients and healthy donors. The normal level of FA in healthy individuals, calculated as M±2σ, ranged from 653.55 µg/ml to 972.19 µg/ml. FeA level was normally distributed (K-S d=0.062, p>0.2). We also studied the relationship between indicators of bone metabolism and the concentration of FeA. In patients with normal FeA levels (n=87), the mean CTX-1 level was 35 ng/mL; in patients with reduced FeA levels (n=23), the mean CTX-1 level was 51 ng/ml (t=-2.42 p =0.016). Thus, with a decrease in the FeA level, CTX-I (an indicator of osteodestruction) tended to increase.Next, we analyzed the relationship between low and normal levels of FeA and the Cartilaps/urine creatinine ratio using intragroup analysis methods. In the group with low FeA level Cartilaps/urinary creatinine was 598.9±223.72 µg/mmol versus 481.17±226.93 µg/mmol in the group with normal FeA level (Z=-2.311; p=0.021). Our data probably allow us to associate the FeA level with the rate of cartilage tissue destruction.ConclusionConsidering that the levels of laboratory markers of cartilage and bone collagen degradation Cartilaps and CTX-I were statistically lower in the presence of an elevated serum level of FeA, we can conclude that FeA has chondro- and osteoprotective properties. It can also be assumed that the level of this marker can be used to predict the rate of cartilage destruction in patients with RA, but this issue requires further study.Disclosure of InterestsNone declared

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Wang, B. T., P. H. Chen, and R. L. Chen. "Finite Element Model Verification for the Use of Piezoelectric Sensor in Structural Modal Analysis." Journal of Mechanics 22, no. 2 (June 2006): 107–14. http://dx.doi.org/10.1017/s1727719100004408.

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AbstractThis paper presents the theoretical modal analysis for the use of PVDF sensor in structural modal testing via finite element analysis (FEA). A series of rectangular PVDF films are adhered on the surface of cantilever beam as sensors, while the point impact force is applied as the actuator for experimental modal analysis (EMA). Natural frequencies and mode shapes determined from both FEA and EMA are validated. In FEA, the beam structure is modeled by 3D solid elements, and the PVDF films are modeled by 3D coupled field piezoelectric elements. Both modal analysis and harmonic response analysis are performed to obtain the structural modal parameters and frequency response functions, respectively. Results show that both FEA and EMA results agree well. In particular, the PVDF sensor mode shapes, proportional to the slope difference between the two edges of PVDF film, are numerically and experimentally validated by FEA and EMA, respectively. Therefore, the simulation of PVDF films for vibration analysis in FEA can be verified and easily extended to other complex structures that may contain piezoelectric materials.

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Thilmany, Jean. "Making a Mesh of Things." Mechanical Engineering 125, no. 09 (September 1, 2003): 54–56. http://dx.doi.org/10.1115/1.2003-sep-3.

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Models need to be meshed and made acceptable for analysis before finite element analysis (FEA) can be run. Software providers that make pre-processing applications must keep up with changes in FEA technology to remain competitive. The mesh contains the data on material and structural properties that define how the part will react to certain load conditions. Today's closely integrated computer-aided design (CAD), pre-processing, and FEA applications allow CAD and entry-level FEA technologies to work together within a common user interface and give design engineers a quick, effortless way to see if their designs will meet specifications. Simplifying the FEA programs so a design engineer can use them limits the intricacy of the mesh as well as the depth of analysis. HyperMesh prepares CAD geometries for analysis. The meshed geometries are then exported to Procter & Gamble's customized package analysis system called Virtual Package Simulation. Today, engineers use mesh technologies and attendant FEA programs for an array of analyses. Some are related to manufacturing, but as often as not they've found their way into other industries.

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Limwongsakorn, Somsak, Wasawat Nakkiew, and Adirek Baisukhan. "Finite Element Analysis Model of Corrosion Fatigue for TIG Welding Workpiece." Key Engineering Materials 707 (September 2016): 154–58. http://dx.doi.org/10.4028/www.scientific.net/kem.707.154.

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The proposed finite element analysis (FEA) model was constructed using FEA simulation software, ANSYS program, for determining effects of corrosion fatigue (CF) from TIG welding process on AISI 304 stainless steel workpiece. The FEA model of TIG welding process was developed from Goldak's double ellipsoid moving heat source. In this paper, the residual stress results obtained from the FEA model were consistent with results from the X-ray diffraction (XRD) method. The residual stress was further used as an input in the next step of corrosion fatigue analysis. The predictive CF life result obtained from the FEA CF model were consistent with the value obtained from stress-life curve (S-N curve) from the reference literaturature. Therefore, the proposed FEA of CF model was then used for predicting the corrosion fatigue life on TIG welding workpiece, the results from the model showed the corrosion fatigue life of 1,794 cycles with testing condition of the frequency ( f ) = 0.1 Hz and the equivalent load of 67.5 kN (equal to 150 MPa) with R = 0.25.

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Yu, Ming, Di Wu, Jian Zhao, Sinan Liu, Kun Gong, and Ziyi Qu. "Vibration characteristics analysis of a type of turbine disk-blade assembly system in the civil aero-engine." Advances in Mechanical Engineering 14, no. 11 (November 2022): 168781322211369. http://dx.doi.org/10.1177/16878132221136945.

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The coupled vibration in the turbine disk-blade system (TDS) is one of the main bottlenecks that hinder the further development of high-performance engines. To analyze the vibration of the TDS, three types of contact conditions, involving bonded, frictionless, or frictional were used to simulate the contact between the turbine disk and the blades. Three finite element analysis (FEA) models of a typical TDS based on the tenon structure were developed. The experimental system was developed and experimental modal analysis (EMA) was performed. According to the comparison between FEA and EMA results, the most accurate model is the frictional contact FEA model. The average error of the frictional contact FEA model is 1.42%, and the root mean square error is 0.75%. The working modes of the TDS at different speeds were calculated using the frictional contact FEA model. Meanwhile, based on the newly developed FEA model, it is found that the weak links in the TDS are the blades. This work can provide a theoretical basis for the TDS structure optimization and promote the development of high-quality aero-engines.

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Hatherell, Jacob, Arnaud Marmier, Grant Dennis, Will Curry, and Jason Matthews. "EXPLORING THE POTENTIAL FOR A FEA-BASED DESIGN OF EXPERIMENTS TO DEVELOP DESIGN TOOLS FOR BULK-METAL JOINING PROCESSES." Proceedings of the Design Society 3 (June 19, 2023): 1815–24. http://dx.doi.org/10.1017/pds.2023.182.

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AbstractOver the last 20 years, finite element analysis (FEA) has become a standard analysis tool for metal joining processes. When FEA tools are combined with design of experiments (DOE) methodologies, academic research has shown the potential for virtual DOE to allow for the rapid analysis of manufacturing parameters and their influence on final formed products. However, within the domain of bulk-metal joining, FEA tools are rarely used in industrial applications and limit DOE trails to physical testing which are therefore constrained by financial costs and time.This research explores the suitability of an FEA-based DOE to predict the complex behaviour during bulk-metal joining processes through a case study on the staking of spherical bearings. For the two DOE outputs of pushout strength and post-stake torque, the FEA-based DOE error did not exceed ±1.2% and ± 1.5 Nm respectively which far surpasses what was previously capable from analytically derived closed-form solutions. The outcomes of this case study demonstration the potential for FEA-based DOE to provide an inexpensive, methodical, and scalable solution for modelling bulk-metal joining process

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Marjani, Mehrsa, Moustafa El Gindy, David Philipps, Fredrik Öijer, and Inge Johansson. "Development of FEA tyre/soil interaction model using SPH and hybrid SPH/FEA technique." International Journal of Vehicle Performance 3, no. 3 (2017): 199. http://dx.doi.org/10.1504/ijvp.2017.085029.

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Kisioglu, Y., J. R. Brevick, and G. L. Kinzel. "Bottom End-Closure Design Optimization of DOT-39 Non-Refillable Refrigerant Cylinders." Journal of Pressure Vessel Technology 127, no. 2 (May 1, 2005): 112–18. http://dx.doi.org/10.1115/1.1858919.

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This study addresses the problem of stability (standing of cylinders upright) of DOT-39 nonrefillable refrigerant cylinders using both experimental and finite element analysis (FEA) approaches. When these cylinders are designed using traditional methods they often suffer permanent volume expansion at the bottom end closure and become unstable when they are pressure tested experimentally. In this study, experimental investigations were carried out using hydrostatic pressure tests with water. In the case of numerical investigations, FEA models were developed for three-dimensional (3D) axisymmetric quasi-static conditions. The FEA models were constructed using nonhomogenous material nonlinearity and geometrical nonuniformity conditions. The results obtained from both FEA models and experimental tests were compared. To eliminate the instability of these cylinders, a design of experiment technique was employed to optimize the bottom end-closure design using the FEA models.

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Kaya, Ertuğrul, Daniele Farioli, and Matteo Strano. "FEA Approach for Wear and Damage Prediction of Tools for the Progressive Die Stamping of Steel Washers." Key Engineering Materials 926 (July 22, 2022): 1168–77. http://dx.doi.org/10.4028/p-15186x.

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In progressive die stamping processes, maintenance activities caused by tool damage, and wear represent economic losses for companies. An effective predictive maintenance strategy can only be implemented if maintenance data coming from the operations are correlated to specific process-related information. As a part of a more general data-based predictive maintenance strategy, the main causes of tool damage and wear in a progressive die stamping factory that produces automotive metal washers have been identified by means of FEA simulations. In this study, the progressive die stamping of a dented conical washer is simulated with Transvalor FORGE FEA software by implementing the process parameters used in a real case. In this study, two indicators called FEAwear and FEAdamage are proposed for prediction of die wear and damage for tools with high risk of failure. For validating the accuracy of the FEA simulations, dimension and geometry comparisons are performed between FEA and real washer, and then real and FEA maximum press force comparison is performed. In the end, FEA simulations demonstrated their accuracy in predicting the stamping force of the press and the final part quality, and proposed FEA damage and wear indicators accurately predicted the most critical tools and stations, as confirmed by the real maintenance data. Finally, the simulations also correctly detected potential damage zones of the tools.

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CHYRKOVA, Yuliia, and Mariana BORTNIKOVA. "Peculiarities of using tax compliance tools at enterprises engaged in foreign economic activities." Economics. Finances. Law, no. 10 (October 29, 2021): 5–8. http://dx.doi.org/10.37634/efp.2021.10.1.

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Introduction. It is established that unpredictability of the external environment, complicating the structure of operational, financial, investment processes, necessity of functioning under the sanctions regime and the growing risks of cyber fraud actualize the question of using tax compliance at enterprises, the subjects of foreign economic activities (FEA). International and national theorists and practitioners think the system of compliance control is an effective alternative to further complicating and increasing the number of regulatory and non-regulatory acts in the field of control over the activities of the organization. Purpose. The legislator makes attempts to stimulate law-abiding behavior of the participants of FEA, gives “white” companies significant advantages. Foreign trade organizations also have interest in reduction of costs, related to the interaction with public authorities. It is found that meeting the expectations of both legal entities and the state contributes to the fundamentalization of the compliance control system. Classification of FEA participants takes place considering their tax and customs reputation. It is resumed, that such classification is necessary for providing maximum customs simplifications for conscientious FEA participants (granting the status of an authorized economic operator). Results. The process of implementation of compliance control over the FEA participants is considered as a way to get gain the trust of control and supervisory authorities, ability of company to get on the ”white” lists of customs authorities, thereby increasing the efficiency of customs operations. It is summarized that constant changes in legal regulation, growing the role of reputation and significant number of cases of fraud on the part of counterparties necessitate the introduction of the compliance control system in the activities of organizations engaged in FEA. The mentioned system of control allows the FEA entites to buy significant benefits, especially in the conditions of intense competition with analogic organizations in the member states of the European Union. Conclusion. The effects for FEA participants from tax compliance have been identified as follows: implementation of customs operations in as much as possible short terms and with minimum expenses; minimization of costs for the implementation of customs operations while ensuring the rules established by customs legislation; obtaining the status of a law-abiding FEA participant; reduction of risks arising from the implementation of FEA; reducing the number of inspections by supervisory authorities; emergence of a single standard of implementation of FEA; application of electronic methods for declaring goods.

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Journal articles on the topic 'FEA'

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