Abstract:The topology optimization problem for the synthesis of compliant mechanisms has been formulated in many different ways in the past 15years, but there is not yet a definitive formulation that is universally accepted. Furthermore, there are two unresolved issues in this problem. In this paper, we present a comparative study of five distinctly different formulations that are reported in the literature. Three benchmark examples are solved with these formulations using the same input and output specifications and t… Show more
“…the case , a so-called spring model have been developed (Ananthasuresh, 1994;Saxena and Ananthasuresh, 2000;Deepak et al, 2009). In the model, the work-piece was modeled as a spring of constant stiffness, i.e.…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…By considering formulations for mechanical functional requirements in the design of CMs, instead of getting the same results with those for flexibility-stiffness purpose, optimal topologies, whose performances are consistent with the mechanical functional requirements, can be obtained. However, there are nonlinear constraints in all the formulations for MA and GA, which brings difficulty in algorithm convergence and the results suffer from point flexure problem (Deepak et al, 2009;Wang, 2009b). Canfield and Frecker (2000) designed compliant displacement amplifier for stack actuators by maximizing ME (F14), which was the product of GA and MA.…”
Section: Formulations For Qualitative Design Of Cms: F1-f14mentioning
confidence: 99%
“…to restrain the motion; however, they did not change the tendency of lumped compliance. In addition, Deepak et al (2009) also found that when the mechanical specification was not set properly, e.g. the desired GA was too large, point flexures still appeared in the optimum.…”
Section: Formulations For Point Flexure Problemmentioning
confidence: 99%
“…In the literature, flexibility, stiffness, mechanical efficiency (ME), mechanical advantage (MA), geometrical advantage (GA), weight, strength and so on, have been defined as objective functions or constraints (Howell, 2001;Saxena and Ananthasuresh, 2001;Deepak et al, 2009). Ananthasuresh (1994) pioneered the TO of CM design with a multi-criteria model and a spring model.…”
Section: Introductionmentioning
confidence: 99%
“…displacement or force, need to be considered as the first priority. Deepak et al (2009) had a comparative study of five formulations, i.e. stiffness-flexibility, MA, work ratio, characteristic stiffness and artificial springs.…”
Abstract. General problems associated with the design of compliant mechanisms through the topology optimization technique are defined in this paper due to the lack of comprehensive definitions for these problems in the literature. Standard design problems associated with rigid body mechanisms, i.e. function generation, path generation and motion generation, are extended to compliant mechanisms. Functional requirements and the associated 25 formulations in the literature are comprehensively reviewed along with their limitations. Based on whether the output is controlled quantitatively or not, these formulations are categorized into two types: (1) formulations for quantitative design; and (2) formulations for qualitative design. In addition, formulations that aim to solve the point flexure problem are also discussed. Future work is identified based on the discussion of each topic.
“…the case , a so-called spring model have been developed (Ananthasuresh, 1994;Saxena and Ananthasuresh, 2000;Deepak et al, 2009). In the model, the work-piece was modeled as a spring of constant stiffness, i.e.…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…By considering formulations for mechanical functional requirements in the design of CMs, instead of getting the same results with those for flexibility-stiffness purpose, optimal topologies, whose performances are consistent with the mechanical functional requirements, can be obtained. However, there are nonlinear constraints in all the formulations for MA and GA, which brings difficulty in algorithm convergence and the results suffer from point flexure problem (Deepak et al, 2009;Wang, 2009b). Canfield and Frecker (2000) designed compliant displacement amplifier for stack actuators by maximizing ME (F14), which was the product of GA and MA.…”
Section: Formulations For Qualitative Design Of Cms: F1-f14mentioning
confidence: 99%
“…to restrain the motion; however, they did not change the tendency of lumped compliance. In addition, Deepak et al (2009) also found that when the mechanical specification was not set properly, e.g. the desired GA was too large, point flexures still appeared in the optimum.…”
Section: Formulations For Point Flexure Problemmentioning
confidence: 99%
“…In the literature, flexibility, stiffness, mechanical efficiency (ME), mechanical advantage (MA), geometrical advantage (GA), weight, strength and so on, have been defined as objective functions or constraints (Howell, 2001;Saxena and Ananthasuresh, 2001;Deepak et al, 2009). Ananthasuresh (1994) pioneered the TO of CM design with a multi-criteria model and a spring model.…”
Section: Introductionmentioning
confidence: 99%
“…displacement or force, need to be considered as the first priority. Deepak et al (2009) had a comparative study of five formulations, i.e. stiffness-flexibility, MA, work ratio, characteristic stiffness and artificial springs.…”
Abstract. General problems associated with the design of compliant mechanisms through the topology optimization technique are defined in this paper due to the lack of comprehensive definitions for these problems in the literature. Standard design problems associated with rigid body mechanisms, i.e. function generation, path generation and motion generation, are extended to compliant mechanisms. Functional requirements and the associated 25 formulations in the literature are comprehensively reviewed along with their limitations. Based on whether the output is controlled quantitatively or not, these formulations are categorized into two types: (1) formulations for quantitative design; and (2) formulations for qualitative design. In addition, formulations that aim to solve the point flexure problem are also discussed. Future work is identified based on the discussion of each topic.
This chapter describes an approach for synthesizing compliant mechanisms that uses topology optimization to meet particular functional needs. Topology optimization techniques are especially useful when the designer does not have a particular compliant mechanism already in mind. This approach can also be used to augment intuitionbased or experience-based compliant mechanism designs. Topology optimization can result in novel solutions that the designer might not have arrived at by means such as converting a known rigid-link mechanism to a compliant mechanism. It is intended to predict the best topology, or material connectivity in a compliant structure, for a particular compliant mechanism design problem. Topology optimization is widely used in a variety of structural design problems; the discussion here is focused on topology synthesis of compliant mechanisms.
What is Topology Optimization?Topology is defined as the pattern of connectivity or spatial sequence of members or elements in a structure. The allowable space for the design in a topology optimization problem is called the design domain. The topology is defined by the distribution of material and void within the design domain (Figure 7.1). Nondesign elements (solid or void) can be specified and are not changed by the optimizer. For example, the designer may require that a certain portion of the design domain remain empty; this region would be specified as void nondesign.
Understanding the optimal designs in nature is critical in bionics. This paper presents a method for designing the configuration of fusiform muscle with a maximum contractile displacement based on topology optimization methods. A nearly incompressible continuum constitutive model of skeletal muscle is utilized. The contractile displacement from the relaxed state to the contracted state is regarded as the objective function. To handle the numerical difficulties that result from the existence of element density, an energy interpolation equation is employed, and a modification of the constitutive model of skeletal muscle is proposed. Several numerical examples are given to demonstrate the reasonability of the proposed method.
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