Process modelling and simulation with finite element methods
Optimizing the Turning of Titanium Aluminide Alloys p. Modeling and Simulation of Vibration-Assisted Article Preview. Abstract: This paper firstly introduces the principle and characteristic of traditional extrusion tapping of internal thread, elaborates the material flow law during tapping process. Add to Cart. Advanced Materials Research Volume Main Theme:. Edited by:. Marcos and J. Online since:. April Cited by. Related Articles. Paper Title Pages.
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Abstract: Ultrasonic vibration is applied to diamond turning of special stainless steel to decrease diamond tool wear and improve the surface quality of the workpieces. It reviews the principle of diamond turning of special stainless steel by applying ultrasonic vibration combined with gas shield. Compared with the ordinary machining method, cutting temperature and cutting force are greatly reduced when machining by application of ultrasonic vibration, and the appetency between a diamond tool and Ferrous atom of a workpiece is also minimized as gas shield application.
The Experiments of cutting special stainless steel workpieces show that the surface roughness Ra is less than 0. It takes research on the effect of cutting parameters to surface roughness and tool wear. The experiment result shows that the amplitude is the most important factor which effects tool wear and surface roughness most.
Abstract: Ultrasonic machining has been proven to be a promising machining method on hard and brittle materials. However, due to the absence of high power ultrasonic machine tools, reported studies on ultrasonic machining were mainly concerned of relatively small hole drilling of the given materials. This approach allows you to identify needed improvements early in the planning stage when comparing designs of different providers.
The successful cooperation was aimed at developing a new positioning standard for similar vertical lifting systems. Virtual modeling — an analysis of machine behavior via computer modeling — was used to simulate all relevant system components and to digitally recreate a variety of different loading conditions. Virtual modeling provides reliable data and extensive insights into machine behavior. By using virtual modeling, different drive and closed-loop configurations could be compared and evaluated with regard to their cost-benefit ratio prior to retrofitting the XSB51 vertical material lift.
A motion analysis was performed to determine the system's current motion profile, which provided a basis for identifying optimization potential.
- Process Modelling and Simulation with Finite Element Methods | Mathematical Association of America.
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All existing loading conditions and motion sequences were simulated in a virtual model using finite element methods FEM , multi-body models and controller modeling. FEM is an accepted method of obtaining detailed analysis data. The results were verified against the actual operation of the system and illustrated the benefits of using an intelligent positioning controller versus the more common PLC- or drive-based open-loop control generally designed by OEMs and system integrators.
The retrofitted vertical lift fulfilled and exceeded all of Volkswagen's expectations regarding cycle times, stability, reduced wear and power consumption. At PSI Technics, virtual process modeling goes beyond outlining a desired machine behavior. We offer you an actual representation of the behavior of your specific machines, providing detailed insight into both physical and technical aspects of your installation using real data that far exceeds rough approximations or guesswork.
PSI Technics' virtual process modeling is a comprehensive service offering aimed at optimizing existing factory logistics installations. Our experienced staff uses extensive analysis tools to reveal the optimization potential in your facility. We can assist you with designing and commissioning new installations to help minimize the risk of positioning errors that lead to excessive costs.
A 3d computational simulation of fracture callus formation: influence of the stiffness of the external fixator.
Isaksson, H. Comparison of biophysical stimuli for mechanoregulation of tissue differentiation during fracture healing. Corroboration of mechanoregulatory algorithms for tissue differentiation during fracture healing: comparison with in vivo results.
Computational Modelling (Finite Element Method)
Garcia-Aznar, J. Computational simulation of fracture healing: influence of interfragmentary movement on the callus growth. A mechanoregulatory bone-healing model incorporating cell-phenotype specific activity. Huiskes, R. A biomechanical regulatory model of peri-prosthetic tissue differentiation. Medicine 8 , — A mathematical framework to study the effects of growth factor influences on fracture healing. Mathematical modeling of fracture healing in mice: comparison between experimental data and numerical simulation results.
Angiogenesis in bone fracture healing: a bioregulatory model. Peiffer, V. A hybrid bioregulatory model of angiogenesis during bone fracture healing. Beneficial effects of moderate, early loading and adverse effects of delayed or excessive loading on bone healing. Connecting biology and mechanics in fracture healing: An integrated mathematical modeling framework for the study of nonunions.
Carlier, A. Mosaic: a multiscale model of osteogenesis and sprouting angiogenesis with lateral inhibition of endothelial cells. PLOS Comput. Oxygen as a critical determinant of bone fracture healing-a multiscale model.
Influence of size and stability of the osteotomy gap on the success of fracture healing. Carter, D. Mechanobiology of skeletal regeneration. Suzanne, R. Cellular mechanisms of mechanotransduction in bone in Mechanosentitivity and Mechanotransduction eds Andre, K. Lu, C. Ischemia leads to delayed union during fracture healing: a mouse model. Joyce, M. Transforming growth factor-beta and the initiation of chondrogenesis and osteogenesis in the rat femur.
Cell Biol. Noda, M. In vivo stimulation of bone formation by transforming growth factor-beta. Sandberg, M. Gene expression during bone repair. Bostrom, M. Immunolocalization and expression of bone morphogenetic proteins 2 and 4 in fracture healing. Nakase, T. Transient and localized expression of bone morphogenetic protein 4 messenger rna during fracture healing.
Bone Miner. Onishi, T. Distinct and overlapping patterns of localization of bone morphogenetic protein bmp family members and a bmp type ii receptor during fracture healing in rats. Bone 22 , — Borges, J. In vitro analysis of the interactions between preadipocytes and endothelial cells in a 3d fibrin matrix. Invasive Ther. Allied Technol. Kanczler, J. Osteogenesis and angiogenesis: the potential for engineering bone. Cells Mater.
Tengood, J. Sequential delivery of basic fibroblast growth factor and platelet-derived growth factor for angiogenesis. Tissue Eng. Part A 17 , — Prendergast, P. Biophysical stimuli on cells during tissue differentiation at implant interfaces. Effect of dynamization on gap healing of diaphyseal fractures under external fixation. The compressive behavior of bone as a two-phase porous structure.
Custom Analyses & Virtual Modeling (FE Method)
Bone Jt. Surgery-American Vol. Kaspar, D. Dynamic cell stretching increases human osteoblast proliferation and cicp synthesis but decreases osteocalcin synthesis and alkaline phosphatase activity. Rhinelander, F. Tibial blood supply in relation to fracture healing.
Introduction and motivation
Download references. All authors reviewed the final manuscript. Correspondence to Monan Wang. Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Reprints and Permissions. Scientific Reports By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Advanced search. Skip to main content. Subjects Biomedical engineering Computational models.
Abstract A dynamic model regulated by both biphasic poroelastic finite element analysis and fuzzy logic control was established. Introduction Bones are vital organs in humans. Figure 1. Full size image. Results In our work, we analyzed fracture healing with two different IFMs with our computational models, which corresponded to two experimental fracture healing cases in sheep Figure 2. Figure 3. Figure 4. Figure 5. Full size table. Discussion In this study, we established a dynamic three-dimensional fracture healing model with biphasic poroelastic finite element analysis and fuzzy logic control.
The newly established model has the following strengths, which are shown as follows: 1. Although the dynamic model has its strengths, there are still several limitations that need to be improved in the future: 1. Methods The simulation of bone fracture healing can be described as an iterative process that includes biphasic poroelastic finite element analysis and fuzzy logic control, as shown in Fig.
Figure 6. Flow chart of simulation of bone fracture healing. Figure 7. Table 3 Material properties of connective tissue, cartilage, woven bone and cortical bone. Figure 8. Table 4 Fuzzy logic rules for tissue differentiation within callus region. Figure 9. References 1. Article PubMed Google Scholar 5. Article Google Scholar 7. Article Google Scholar 9.
Article Google Scholar Article PubMed Google Scholar Google Scholar Article Google Scholar Download references. Ethics declarations Competing Interests The authors declare no competing interests.