A Novel Approach for Optimization of Soft Material Constitutive Model Parameters Based on a Genetic Algorithm and Drucker's Stability Criterion.

The growing interest in soft materials to develop flexible devices involves the need to create accurate methodologies to determine parameter values of constitutive models to improve their modeling. In this work, a novel approach for the optimization of constitutive model parameters is presented, which consists of using a genetic algorithm (GA) to obtain a set of solutions from data of uniaxial tensile tests, which are later used to simulate the mechanical test using finite element analysis (FEA) software to find an optimal solution considering Drucker's stability criterion. This approach was applied to the elastomer Ecoflex 00-30 considering the Warner and Yeoh models and Rivlin's phenomenological theory. The correlation between the experimental and the predicted data by the models was determined using the root mean squared error (RMSE), where the found parameter sets provided a close fit to the experimental data with RMSE values of 0.022 (ANSYS) and 0.024 (ABAQUS) for Warner's model, while for Yeoh's model were 0.014 (ANSYS) and 0.012 (ABAQUS). It was found that the best parameter values accurately follow the experimental material behavior using FEA. The proposed GA not only optimizes the material parameters but also has a high reproducibility level with average RMSE values of 0.024 for Warner's model and 0.009 for Yeoh's model, fulfilling Drucker's stability criterion.

Development of an in vitro distal gastric simulator to mimic the mechanical action of the human stomach.

This work describes the development of an in vitro distal gastric simulator (IV-DGS), where the distal region of the human stomach was replicated. Soft membranes were fabricated to simulate the gastric walls to generate a mechanical condition close to the physiological behavior. An esophageal manometry catheter was used to record the pressure amplitude values and the pressure waveform from the contractile activity. Three different experiments, considering the conditions of the fed state, were carried out to evaluate the performance of the proposed simulator. The first one was related to the evaluation of the mixing capability by dissolving methylene blue in distilled water and aqueous solutions of guar gum.The second one was focused on evaluating the acidification rate of milk with hydrochloric acid (HCl). Finally, food disintegration was evaluated using sausage and melon as meals. The IV-DGS demonstrated the capability to reproduce a pressure range between 15 and 30 mmHg, and the waveform reproduced the propulsion and retropulsion flows which were consistent with in vivo experiments reported elsewhere (Maqbool et al., 2009). The IV-DGS produced about 75 % disintegration of the pounded sausage, which represents an improvement of more than 200 % and 35 % compared to the results obtained using the static arrays without and with agitation, respectively. These experiments demonstrated how important the mechanical dynamic conditions are to promote the chemical and mechanical reaction during in vitro digestion simulations.

Extended CT Void Analysis in FDM Additive Manufacturing Components.

Additive manufacturing (AM) is the term for a number of processes for joining materials to build physical components from a digital 3D model. AM has multiple advantages over other construction techniques, such as freeform, customization, and waste reduction. However, AM components have been evaluated by destructive and non-destructive testing and have shown mechanical issues, such as reduced resistance, anisotropy and voids. The build direction affects the mechanical properties of the built part, including voids of different characteristics. The aim of this work is an extended analysis of void shape by means of X-ray computed tomography (CT) applied to fused deposition modeling (FDM) samples. Furthermore, a relation between the tensile mechanical properties and digital void measurements is established. The results of this work demonstrate that void characteristics such as quantity, size, sphericity and compactness show no obvious variations between the samples. However, the angle between the main void axis and the mechanical load axis α shows a relation for FDM components: when its mean value µ(α) is around 80 (degrees) the yield strength and Young's modulus are reduced. These results lead to the formulation of a novel criterion that predicts the mechanical behavior of AM components.

[Artificial vision for the human blind]. / Visión artificial en el humano.

Since 1960 many attempts have been made to develop visual prostheses for the blind; most of the devices based on the production of phosphenes through electrical stimulation with microelectrodes at the retina, optic nerve, lateral geniculate or occipital lobe are incapable to reconstruct a coherent retinotopic map (coordinate match between the image and the visual perception of the patient); furthermore they display important restrictions at the biomaterial level that hinder their final implantation through surgical techniques which at present time offers more risks than benefits to the patient. Considering the new theories about intermodal perception it is possible the acquisition of visual information through other senses; The Micromechanics and Mecatronics Group (GMM) from The Center of Applied Sciences and Technological Development at The National Autonomous University of Mexico by this paper, describes the experimental design and psychophysical data necessary for the construction of a visual sensory substitution prostheses with a vibrotactile system. The vibrotactile mechanism locates different bars over the epidermis in a predetermined way to reproduce a point by point matrix order in a logical sequence of rows and columns that allow the construction of an image with an external device that not require invasive procedures.

Reimplantable Microdrive for Long-Term Chronic Extracellular Recordings in Freely Moving Rats.

Extracellular recordings of electrical activity in freely moving rats are fundamental to understand brain function in health and disease. Such recordings require a small-size, lightweight device that includes movable electrodes (microdrive) to record either a new set of neurons every day or the same set of neurons over time. Ideally, microdrives should be easy to implant, allowing precise and smooth displacement of electrodes. The main caveat of most commercially available microdrives is their relatively short half-life span, in average ranging from weeks to a month. For most experiments, recording days-weeks is sufficient, but when the experiment depends on training animals for several months, it is crucial to develop new approaches. Here, we present a low-cost, reusable, and reimplantable device design as a solution to extend chronic recordings to long-term. This device is composed of a baseplate that is permanently fixed to the rodent's skull, as well as a reusable and replaceable microdrive that can be attached and detached from the baseplate, allowing its implantation and reimplantation. Reimplanting this microdrive is particularly convenient when no clear neuronal signal is present, or when the signal gradually decays across days. Our microdrive incorporates a mechanism for moving a 16 tungsten-wire bundle within a small (∼15 mm3) lightweight device (∼4 g). We present details of the design, manufacturing, and assembly processes. As a proof of concept, we show that recordings of the nucleus accumbens core (NAcc) in a freely behaving rat are stable over a month. Additionally, during a lever-press task, we found, as expected, that NAc single-unit activity was associated with rewarded lever presses. Furthermore, we also show that NAc shell (NAcSh) responses evoked by freely licking for sucrose, consistent with our previously published results, were conserved from a first implant to a second microdrive reimplant in the same rat, notably showing reimplantation is possible without overtly affecting the functional responses of the area of interest. In sum, here we present a novel microdrive design (low-cost, small size, and light weight) that can be used for long-term chronic recordings and reimplanted in freely behaving rats.

Improved Surface-Based Registration of CT and Intraoperative 3D Ultrasound of Bones.

The intraoperative registration of preoperative CT volumes is a key process of most computer-assisted orthopedic surgery (CAOS) systems. In this work, is reported a new method for automatic registration of long bones, based on the segmentation of the bone cortical in intraoperative 3D ultrasound images. A bone classifier was developed based on features, obtained from the principal component analysis of the Hessian matrix, of every voxel in an intraoperative ultrasound volume. 3D freehand ultrasound was used for the acquisition of the intraoperative ultrasound volumes. Corresponding bone surface segmentations in ultrasound and preoperative CT imaging were used for the intraoperative registration. Validation on a phantom of the tibia produced encouraging results, with a maximum mean segmentation error of 0.34⁡mm (SD=0.26⁡mm) and a registration accuracy error of 0.64⁡mm (SD=0.49⁡mm).