Unraveling Tensegrity Tessellations for Metamaterials with Tunable Stiffness and Bandgaps

Tensegrity structures resemble biological tissues: A structural system that holds an internal balance of prestress. Owing to the presence of prestress, biological tissues can dramatically change their properties, making tensegrity a promising platform for tunable and functional metamaterials. However, tensegrity metamaterials require harmony between form and force in an infinitely–periodic scale, which makes the design of such systems challenging. In order to explore the full potential of tensegrity metamaterials, a systematic design approach is required. In this work, we propose an automated design framework that provides access to unlimited tensegrity metamaterial designs. The framework generates tensegrity metamaterials by tessellating blocks with designated geometries that are aware of the system periodicity. In particular, our formulation allows creation of Class-1 (i.e., floating struts) tensegrity metamaterials. We show that tensegrity metamaterials offer tunable effective elastic moduli, Poisson’s ratio, and phononic bandgaps by properly changing their prestress levels, which provide a new dimension of programmability beyond geometry

Unraveling Tensegrity Tessellations for Metamaterials with Tunable Stiffness and Bandgaps

Tensegrity structures resemble biological tissues: A structural system that holds an internal balance of prestress. Owing to the presence of prestress, biological tissues can dramatically change their properties, making tensegrity a promising platform for tunable and functional metamaterials. However, tensegrity metamaterials require harmony between form and force in an infinitely–periodic scale, which makes the design of such systems challenging. In order to explore the full potential of tensegrity metamaterials, a systematic design approach is required. In this work, we propose an automated design framework that provides access to unlimited tensegrity metamaterial designs. The framework generates tensegrity metamaterials by tessellating blocks with designated geometries that are aware of the system periodicity. In particular, our formulation allows creation of Class-1 (i.e., floating struts) tensegrity metamaterials. We show that tensegrity metamaterials offer tunable effective elastic moduli, Poisson’s ratio, and phononic bandgaps by properly changing their prestress levels, which provide a new dimension of programmability beyond geometry

Biomarker discovery and redundancy reduction towards classification using a multi-factorial MALDI-TOF MS T2DM mouse model dataset

Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its comprehensive analysis. On the other hand, the data from these studies often include a substantial amount of redundancy such as proteins that are typically represented by a multitude of peptides. Coping simultaneously with both complexities (experimental and technological) makes data analysis a challenge for Bioinformatics

Drumstick seed as a coagulant

The results of investigation using drumstick seed power as a natural coagulant are reported. The raw waters used for experimental work encompassed turbidity values ranging from 32 to 210 NTU. and, PH values ranging from 6.5 to 9.1. The results of the work clearly indicate the effectiveness of the drumstick seed as a coagulant and compares well with alum for treatment of turbid waters. The findings of the work will be of immediate application in rural water supplies in the developing countries

Desorption and Regeneration of Dye Colours from Low Cost Materials

Experimental methods and results are reported in this paper in the desorption and regeneration of eight dye colors individually from six low-cost sorbent materials. Desorption and regeneration values give an idea about the type of interaction between the sorbate and the sorbent, and the possibility of regeneration of the sorbent. Bentonite clay, among the six low-cost materials studied in the present investigation, could sorb all the dyes used in investigation with the exception of the acid dyes. No regeneration of clay is possible in the sorption of dyes, since strong chemical bonding occurs between it and the sorbed dyes. Rice husk, bark, cotton waste and hair could sorb only the red and blue basic dyes and a combination of ion-exchange and chemical bonding occurs in the sorption process

THD OPTIMIZATION OF SERIES CONNECTED 11-LEVEL MULTILEVEL INVERTER USING PSPWM & LSPWM TECHNIQUES

Many of the large electric drives and utility applications require advanced power electronics converter to meet the high power demands. Generally, multipulse-converter-based and multilevel converter- based solutions are used for high-power drive applications. A multipulse converter uses more than one voltage source converter (VSC), with common dc link, operating with nearly fundamental switching frequency. This paper focus on switching pattern selection scheme based cascaded multilevel inverter fed induction motor drive. It offer several advantages compared to the conventional 3-phase bridge inverter in terms of lower dv/dt stresses, lower electromagnetic compatibility, smaller rating and better output features. The proposed method has been designed an eleven level cascaded multilevel inverter by using sinusoidal pulse width modulation technique, in that we offered  phase shift & level shift pwm technique for controlling ON/OFF period. The selected pattern has been exposed to give superior performance in load voltage, total harmonics distortion and capacitor voltage fluctuation. Simulation results are shown for voltage and current during synchronization mode and drive characteristics for two modulation schemes.  The proposed concept is updating by using Matlab/Simulink software package and results are conferred

Band Gap Estimation of D-LEGO Meta-structures Using FRF-Based Substructuring and Bloch Wave Theory

Periodic structures are found to exhibit band gaps which are frequency bandwidths where structural vibrations are absorbed. In this paper, meta-structures are built by dynamically linking oscillators in a periodic pattern, which are referred to as dynamically linked element grade oscillators or D-LEGOs. The location of the band gaps is numerically determined for a one-dimensional D-LEGO. The unit cell for the D-LEGO structure is considered to be made up of two longitudinal bar elements of different properties. For such a structure, the frequency response functions (FRFs) of a single unit cell are used to estimate the band gaps of a periodic-lattice structure by adapting the Bloch wave theory. Alternatively, the FRF of the multi-unit cell is determined using FRF-based substructuring (FBS) approach. The band gaps resulting from these two approaches are compared and verified