39 research outputs found

    Dynamic performance of transmission pole structures under blasting induced ground vibration

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    Structural integrity of electric transmission poles is crucial for the reliability of power delivery. In some areas where blasting is used for mining or construction, these structures are endangered if they are located close to blasting sites. Through field study, numerical simulation and theoretical analysis, this research investigates blast induced ground vibration and its effects on structural performance of the transmission poles. It mainly involves: (1) Blast induced ground motion characterization; (2) Determination of modal behavior of transmission poles; (3) Investigation of dynamic responses of transmission poles under blast induced ground excitations; (4) Establishment of a reasonable blast limit for pole structures; and (5) Development of heath monitoring strategies for the electric transmission structures. The main technical contributions of this research include: (1) developed site specific spectra of blast induced ground vibration based on field measurement data; (2) studied modal behavior of pole structures systematically; (3) proposed simplified but relatively accurate finite element (FE) models that consider the structure-cable coupling; (4) obtained dynamic responses of transmission pole structures under blast caused ground vibration both by spectrum and time-history analysis; (5) established 2 in/s PPV blast limit for transmission pole structures; (6) developed two NDT techniques for quality control of direct embedment foundations; and (7) described an idea of vibration-based health monitoring strategy for electric transmission structures schematically

    Principles and approaches for the machining simulation of ceramic matrix composites at microscale: a review and outlook

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    Ceramic Matrix Composites (CMC) are advanced materials composed of ceramic fibers embedded in a ceramic matrix, resulting in a highly durable and lightweight composite structure offering exceptional high-temperature performance, excellent mechanical properties, and superior resistance to wear and corrosion. CMC find applications in industries such as aerospace, automotive, energy, and defense, where high strength and thermal stability are crucial. Despite their numerous advantages, machining CMC presents unique challenges. The hardness and brittleness of ceramics make them difficult to machine using conventional methods. The abrasive nature of ceramic particles can rapidly wear down cutting tools, leading to decreased tool life and increased costs. Numeric simulations for the machining of CMC are therefore particularly interesting due to their ability to provide insights into tool-material interactions and optimize machining parameters without the need for expensive and time-consuming physical trials. This paper discusses existing methods and approaches from different materials like Carbon Fiber Reinforced Plastics (CFRP) and monolithic ceramics and puts forward an outlook for the numerical simulation of the machining process of CMC

    Numerical Modeling in Civil and Mining Geotechnical Engineering

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    This Special Issue (SI) collects fourteen articles published by leading scholars of numerical modeling in civil and mining geotechnical engineering. There is a good balance in the number of published articles, with seven in civil engineering and seven in mining engineering. The software used in the numerical modeling of these article varies from numerical codes based on continuum mechanics to those based on distinct element methods or mesh-free methods. The studied materials vary from rock, soil, and backfill to tailings. The investigations vary from mechanical behavior to hydraulic and thermal responses of infrastructures varying from pile foundations to tailings dams and underground openings. The SI thus collected a diversity of articles, reflecting the state-of-the-art of numerical modeling applied in civil and mining geotechnical engineering

    Master of Science

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    thesisAn ever-present challenge at most active mining operations is controlling blastinduced damage beyond design limits. Implementing more effective wall control during blasting activities requires (1) understanding the damage mechanisms involved and (2) reasonably predicting the extent of blast-induced damage. While a common consensus on blast damage mechanisms in rock exists within the scientific community, there is much work to be done in the area of predicting overbreak. A new method was developed for observing near-field fracturing with a borescope. A field test was conducted in which a confined explosive charge was detonated in a body of competent rhyolite rock. Three instrumented monitoring holes filled with quick-setting cement were positioned in close proximity to the blasthole. Vibration transducers were secured downhole and on the surface to measure near-field vibrations. Clear acrylic tubing was positioned downhole and a borescope was lowered through it to view fractures in the grout. Thin, two-conductor, twisted wires were placed downhole and analyzed using a time-domain reflectometer (TDR) to assess rock displacement. Fracturing in the grout was easily observed with the borescope up to 3.78 m (12.4 ft) from the blasthole, with moderate fracturing visible up to 2.10 m (6.9 ft). Measured peak particle velocities (PPV) at these distances were 310 mm/s (12.2 in./s) and 1,490 mm/s (58.5 in./s), respectively, although no fracturing was observed near the depth of the vibration transducers located 3.78 m (12.4 ft) from the blasthole. TDR readings were difficult to interpret but indicated rock displacement in two of the monitoring holes. Three methods were used to predict the radial extent of tensile damage around the blasthole: a modified Holmberg-Persson (HP) model, a shockwave transfer (SWT) model, and a dynamic finite element simulation using ANSYS AutodynTM. The extent of damage predicted by the HP and SWT models is similar to field measurements when using static material properties of the rock, but is underestimated using dynamic material properties. The Autodynโ„ข model significantly overpredicted the region of damage but realistically simulated the zones of crushing and radial cracking. Calibration of material parameters for the AutodynTM model would be needed to yield more accurate results

    Numerical modelling of additive manufacturing process for stainless steel tension testing samples

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    Nowadays additive manufacturing (AM) technologies including 3D printing grow rapidly and they are expected to replace conventional subtractive manufacturing technologies to some extents. During a selective laser melting (SLM) process as one of popular AM technologies for metals, large amount of heats is required to melt metal powders, and this leads to distortions and/or shrinkages of additively manufactured parts. It is useful to predict the 3D printed parts to control unwanted distortions and shrinkages before their 3D printing. This study develops a two-phase numerical modelling and simulation process of AM process for 17-4PH stainless steel and it considers the importance of post-processing and the need for calibration to achieve a high-quality printing at the end. By using this proposed AM modelling and simulation process, optimal process parameters, material properties, and topology can be obtained to ensure a part 3D printed successfully

    Micromechanical Study of Rock Fracture and Fragmentation under Dynamic Loads using Discrete Element Method

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    The study presented in this thesis aims to numerically explore the micro-mechanisms underlying rock fracture and fragmentation under dynamic loading. The approach adopted is based on the Discrete Element Method (DEM) coupled to the Cohesive Process Zone (CPZ) theory. It assumes rock material as assemblage of irregular-sized deformable fragments joining together at their cohesive boundaries. The simulation, which is referred to as Cohesive Fragment Model (CFM), takes advantage of DEM particle/contact logic to handle the fragments and boundaries in between. In this idealization, mechanical properties of particle and more dominantly those of contact control macroscopic response of the particle assemblage. A rate-dependent orthotropic cohesive law is developed for DEM contacts to capture rock material specific features, e.g. brittleness, anisotropy and rate-dependency. Rock experimental behavior is then modeled in order to assess individually the sensitivity of results to grain size, confining pressure, micromechanical parameters, stored strain energy, loading rate etc. The thesis is organized to approach the problem systematically. First, CFM application for static analysis is examined. It is shown that CFM quantitatively and qualitatively predicts compressive and tensile failure of hard and soft rocks as well as shear strength, dilatancy and degradation of rough rock joints. CFM micro-parameters, i.e., stiffness of particle and strength, stiffness, and friction of contact are calibrated using a combination of statistical disciplines and original closed-form expressions. The calibration process provides useful physical interpretation for each micro-parameter in terms of standard rock mechanical properties. These interpretations enable to understand how macroscopic behavior of rock material originates from its mineral microstructure. Energy needed to fully open a contact, the contact energy numerically represents material fracture energy in CFM. Experimental investigations suggest that fracture energy is independent of loading rate in quasi-static circumstances. Thus, contact energy is simply assumed as constant in static analysis. However, simulation on fast fracturing by CFM warns that this assumption causes serious deviations in fracture dynamic analysis. Laboratory observations reveal that fast-moving fracture consumes more energy than slow-moving one does. This inspires to consider contact energy as variable and rate-dependent to provide the model with the appropriate prediction of the fracture energy release process. Applying this new approach, fracture behavior of PMMA plates is investigated under different levels of stored strain energy. As the final stage, dynamic fracture toughness of rock samples, measured by the split-Hopkinson pressure bar test, is simulated and promising results are obtained. They demonstrate how numerical modeling can practically aid experimental methods in terms of measurement verification, error estimation, and performing appropriate corrections. The studies suggest that DEM is an effective and convenient tool to investigate fracture and fragmentation problems. While predictions by continuum models are restricted only to crack initiation, simulation by DEM made it possible to track both the initiation and progression of fracture over time by following consecutive damage of contacts. Moreover, the research specifically demonstrates that the proposed contact model properly predicts the experimental behavior of rock fracture under static and dynamic loading. This result verifies the model validity and adequacy for rock fracture analysis

    A study on the Risk Analysis of the Anchor Impact Scenario of the Buried Structures in the Seabed and the Design Criteria of Rock-berm for the Additional Protection

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    ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•ด์ €์— ์„ค์น˜๋˜๋Š” ๊ตฌ์กฐ๋ฌผ๋“ค์— ๋Œ€ํ•ด ์ฃผ์š” ์œ„ํ•ด์š”์†Œ์ธ ์„ ๋ฐ•์šฉ ์•ต์ปค๋ฅผ ์ด์šฉํ•˜์—ฌ ํˆฌ๋ฌ˜ ๋ฐ ์ฃผ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋จผ์ € ํˆฌ๋ฌ˜์— ์˜ํ•œ ์ถฉ๋Œ ์‹œ๋‚˜๋ฆฌ์˜ค๋Š” ํˆฌํ•˜๋œ ์•ต์ปค๊ฐ€ ์ˆ˜์ง๋‚™ํ•˜ํ•˜์—ฌ ํ•ด์ €์— ์„ค์น˜๋œ ํŒŒ์ดํ”„์— ์ถฉ๋Œํ•˜๋Š” ์กฐ๊ฑด์„ ์„ ํƒํ–ˆ๋‹ค. ์ข…๋‹จ์†๋„๋ฅผ ์‚ฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ์ „์‚ฐ์œ ์ฒดํ•ด์„ ํ”„๋กœ๊ทธ๋žจ์ธ FLUENT์˜ MDM(Moving Deforming Mesh)๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์˜€๊ณ , ABAQUS/CAE ํ”„๋กœ๊ทธ๋žจ์„ ์ด์šฉํ•˜์—ฌ ํ•ด์ €์ง€๋ฐ˜ ์„ฑ์งˆ ๋ฐ ํŒŒ์ดํ”„๋ผ์ธ์˜ ๋งค์„ค๊นŠ์ด์— ๋”ฐ๋ฅธ ์ถฉ๋Œํ•ด์„์„ ์‹ค์‹œํ•˜์—ฌ ํˆฌ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ ๋ถ„์„์ด ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์ฃผ๋ฌ˜์— ์˜ํ•œ ์ถฉ๋Œ ์‹œ๋‚˜๋ฆฌ์˜ค๋Š” ๋ณด์ˆ˜์ ์ธ ์„ค์ •์œผ๋กœ ์•ต์ปค ๋Œ๋ฆผ ํ•ด์„์„ ์‹ค์‹œํ•˜๊ธฐ ์œ„ํ•ด ์ดˆ๊ธฐ ์•ต์ปค ์นจํˆฌ๊นŠ์ด์™€ ์•ต์ปค ๋Œ๋ฆผ ์†๋„ ๋ฐ ๊ฐ๋„, ๊ทธ๋ฆฌ๊ณ  ์•ต์ปค์™€ ๋ฝ๋ฒ”์˜ ์ด๊ฒฉ๊ฑฐ๋ฆฌ๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•œ ์„ ํ–‰ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์„ ํ–‰ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ABAQUS/CAE ํ”„๋กœ๊ทธ๋žจ์˜ CEL(Coupled Eulerian Lagrangian)๊ธฐ๋ฒ•์„ ์ด์šฉํ•˜์—ฌ ํ•ด์ €์ง€๋ฐ˜ ์„ฑ์งˆ์— ๋”ฐ๋ฅธ ์•ต์ปค ์นจํˆฌ๊นŠ์ด๋ฅผ ์‚ฐ์ •ํ•˜์—ฌ ์ฃผ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์•ต์ปค ํˆฌ๋ฌ˜ ๋ฐ ์ฃผ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ ๋ถ„์„์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ถ”๊ฐ€ ๋ณดํ˜ธ๋ฅผ ์œ„ํ•œ ๋ฝ๋ฒ”์„ ์„ค๊ณ„ํ•˜์˜€๊ณ , ๋ฝ๋ฒ” ๊ฒ€์ฆ์„ ์œ„ํ•œ ํˆฌ๋ฌ˜ ๋ฐ ์ฃผ๋ฌ˜์˜ ์ถ”๊ฐ€ ํ•ด์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ถ”๊ฐ€ ํ•ด์„ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•ด์ €์ง€๋ฐ˜ ์„ฑ์งˆ ๋ฐ ํŒŒ์ดํ”„๋ผ์ธ์˜ ๋งค์„ค๊นŠ์ด์— ๋”ฐ๋ฅธ ๋ฝ๋ฒ” ์„ค๊ณ„ ๊ธฐ์ค€์„ ์ •๋ฆฌํ•˜์—ฌ ์ œ์‹œํ•˜์˜€๋‹ค.|In this study risk analysis of subsea pipeline was carried out by dropping and dragging of ship anchors, which are major risk factors for structures installed on the seabed. Firstly, impact scenario of a ship anchor dropped vertically and impacted an installed subsea pipeline was considered to calculate the impact force through terminal velocity. For that a computational fluid dynamic program, FLUENT, and MDM (Moving Deforming Mesh) technique were applied. Then, impact analysis of subsea pipeline was carried out using the dynamic finite element program, ABAQUS/CAE, considering seabed soil properties and pipeline buried depths in the seabed. Then, preliminary simulations were performed to determine the initial anchor penetration depth, anchor drag velocity, drag angle, and the distance between the anchor and the rock-berm before simulating dragging of anchor. Based on the preceding simulation results, risk analysis of dragging anchor was carried out to calculate the anchor dragging penetration depth according to the seabed soil properties using CEL(Coupled Eulerian Lagrangian) technique of the ABAQUS/CAE program. Lastly, based on the risk analysis of subsea pipeline, Rock-Berm was designed for additional protection, and risk analysis were carried out through the dropping and dragging of anchor for verification of safety. Based on the results of the additional simulation, the design criteria of Rock-Berm considering the seabed soil properties and pipeline burial depths in the seabed was suggested.๋ชฉ ์ฐจ List of Figures iii List of Tables vi Abstract vii ์ œ 1 ์žฅ ์„œ ๋ก  1 1.1 ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ 1 1.2 ์—ฐ๊ตฌ ๋™ํ–ฅ ๋ฐ ๋ชฉ์  3 ์ œ 2 ์žฅ ์•ต์ปค ํˆฌ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ ๋ถ„์„ 4 2.1 ์•ต์ปค ํˆฌ๋ฌ˜ ์‹œ๋‚˜๋ฆฌ์˜ค 4 2.2 ์ข…๋‹จ์†๋„ ์‚ฐ์ •์„ ์œ„ํ•œ ์ˆ˜์น˜ํ•ด์„ 6 2.3 ์•ต์ปค ํˆฌ๋ฌ˜์— ์˜ํ•œ ์ถฉ๋Œ ํ•ด์„ 13 2.3.1 ์•ต์ปค ๋ชจ๋ธ๋ง 14 2.3.2 ํŒŒ์ดํ”„๋ผ์ธ ๋ชจ๋ธ๋ง 15 2.3.3 ํ•ด์ €์ง€๋ฐ˜ ๋ชจ๋ธ๋ง 16 2.4 ํ•ด์„ ๊ฒฐ๊ณผ ๋ฐ ์œ„ํ—˜์„ฑ ๋ถ„์„ 18 ์ œ 3 ์žฅ ์•ต์ปค ์ฃผ๋ฌ˜์— ์˜ํ•œ ์œ„ํ—˜์„ฑ ๋ถ„์„ 23 3.1 ์•ต์ปค ์ฃผ๋ฌ˜ ์‹œ๋‚˜๋ฆฌ์˜ค 23 3.2 ์•ต์ปค ์ฃผ๋ฌ˜ ์‹œ๋‚˜๋ฆฌ์˜ค ์„ค์ •์„ ์œ„ํ•œ ์„ ํ–‰ํ•ด์„ 24 3.2.1 ์•ต์ปค ์ฃผ๋ฌ˜ ์‹œ๋‚˜๋ฆฌ์˜ค ์„ค์ •์„ ์œ„ํ•œ ์„ ํ–‰ํ•ด์„ ๊ฐœ๋… 24 3.2.2 ์„ ํ–‰ํ•ด์„์„ ์œ„ํ•œ ์œ ํ•œ์š”์†Œํ•ด์„ ๊ธฐ๋ฒ• 26 3.2.3 ์„ ํ–‰ํ•ด์„์„ ์œ„ํ•œ 3์ฐจ์› ์œ ํ•œ์š”์†Œ ๋ชจ๋ธ๋ง 27 3.2.4 ์„ ํ–‰ํ•ด์„ ๊ฒฐ๊ณผ ๋ถ„์„ ๋ฐ ์‹œ๋‚˜๋ฆฌ์˜ค ๊ฒฐ์ • 31 3.3 ์•ต์ปค ์ฃผ๋ฌ˜์— ์˜ํ•œ ์ถฉ๋Œ ํ•ด์„ 35 3.4 ํ•ด์„ ๊ฒฐ๊ณผ ๋ฐ ์œ„ํ—˜์„ฑ ๋ถ„์„ 36 ์ œ 4์žฅ ์ถ”๊ฐ€ ๋ณดํ˜ธ๋ฅผ ์œ„ํ•œ ๋ฝ๋ฒ” ์„ค๊ณ„ 40 4.1 ์ถ”๊ฐ€ ๋ณดํ˜ธ๊ณต๋ฒ• ๋ฐฉ์•ˆ 40 4.2 ์ถ”๊ฐ€ ๋ณดํ˜ธ๋ฅผ ์œ„ํ•œ ๋ฝ๋ฒ” ๋‹จ๋ฉด ์„ค๊ณ„ 41 ์ œ 5์žฅ ์„ค๊ณ„๋œ ๋ฝ๋ฒ” ๋‹จ๋ฉด์— ๋Œ€ํ•œ ๊ฒ€์ฆ 42 5.1 ์•ต์ปค ํˆฌ๋ฌ˜์— ์˜ํ•œ ์„ค๊ณ„๋œ ๋ฝ๋ฒ” ๋‹จ๋ฉด ๊ฒ€์ฆ 42 5.1.1 ์„ค๊ณ„๋œ ๋ฝ๋ฒ”์˜ ์œ ํ•œ์š”์†Œ ๋ชจ๋ธ๋ง 42 5.1.2 ๋ฝ๋ฒ”์„ ์ ์šฉํ•œ ์•ต์ปค ํˆฌ๋ฌ˜ ํ•ด์„ ๊ฒฐ๊ณผ ๋ฐ ์œ„ํ—˜์„ฑ ๋ถ„์„ 45 5.2 ์•ต์ปค ์ฃผ๋ฌ˜์— ์˜ํ•œ ์„ค๊ณ„๋œ ๋ฝ๋ฒ” ๋‹จ๋ฉด ๊ฒ€์ฆ 54 5.2.1 ์„ค๊ณ„๋œ ๋ฝ๋ฒ”์˜ ์œ ํ•œ์š”์†Œ ๋ชจ๋ธ๋ง 54 5.2.2 ๋ฝ๋ฒ”์„ ์ ์šฉํ•œ ์•ต์ปค ์ฃผ๋ฌ˜ ํ•ด์„ ๊ฒฐ๊ณผ ๋ฐ ์œ„ํ—˜์„ฑ ๋ถ„์„ 56 5.3 ์•ต์ปค ํˆฌ๋ฌ˜ ๋ฐ ์ฃผ๋ฌ˜์— ์˜ํ•œ ๋ฝ๋ฒ” ์„ค๊ณ„ ๊ธฐ์ค€ 63 ์ œ 6์žฅ ๊ฒฐ ๋ก  65 ์ฐธ๊ณ ๋ฌธํ—Œ 69Maste

    A Review of Hydraulic Fracturing Simulation

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    Along with horizontal drilling techniques, multi-stage hydraulic fracturing has improved shale gas production significantly in past decades. In order to understand the mechanism of hydraulic fracturing and improve treatment designs, it is critical to conduct modelling to predict stimulated fractures. In this paper, related physical processes in hydraulic fracturing are firstly discussed and their effects on hydraulic fracturing processes are analysed. Then historical and state of the art numerical models for hydraulic fracturing are reviewed, to highlight the pros and cons of different numerical methods. Next, commercially available software for hydraulic fracturing design are discussed and key features are summarised. Finally, we draw conclusions from the previous discussions in relation to physics, method and applications and provide recommendations for further research

    Modelling of biomass milling

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    Strategies to combat climate change focus on every industry and has led to government policies to reduce electricity generation through coal combustion. Switching to biomass provides an opportunity to use infrastructure constructed for coal combustion with carbon neutral fuels; however, the process of grinding biomass pellets as fuel in pulverised fuel combustion is not well known. 1% of energy generated at a power plant is utilised to achieve the required size for the fuel. Improvements in the understanding of biomass pellet milling could lead to optimisation of operating conditions and minimisation of energy consumption. The process could aid generators determine appropriate fuels and costs for each; this represents a potential opportunity to elongate the life of current power stations, which is more cost effective than construction of new biomass specific plants. This research has developed a population balance equation (PBE) model simulation to predict the output of biomass pellet grinding for Lopulco E1.6 mill and a Retsch PM100 planetary ball mill; this has never been published in literature. It has proven it can predict the output particle size distribution of a Lopulco E1.6 mill, a scale model of an industrial mill, for biomass pellet PSDโ€™s. It has shown that the simulation parameters can be based on axial and flexure deformation testing results, and that it can predict the PSD to within an average 88% accuracy against blind test. A novel technique in evaluating a PSD has been achieved using an overlapping coefficient, a measure better suited to PSD analysis than conventional model validation techniques. The PBE simulation has also shown that back calculating parameters can separate mill and material contributions when utilising a popularly used selection function and a breakage function developed in this research based on the Rosin-Rammler equation. This has been shown for the Lopulco mill and a lab scale planetary ball mill for axial and flexure deformation tests respectively. The research shows that emphasis should be placed on understanding classifier dynamics due to unexpected behaviour in the Lopulco mill experiments. Further conclusions show that energy consumption can be related to axial deformation energy that can be explained by the action of a Lopulco millโ€™s application of compressive force on and the orientation of pellets against the rollers
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