Sizing Directional Pneumatic Valves Based on the Characteristic Dynamic Behavior of Linear Actuators

In this paper, a novel approach to size directional pneumatic valves based on the analysis of the characteristic behavior of pneumatic actuators applied for pick and place tasks is presented. The study evidences the existence of three characteristic times in the displacement of a standard pneumatic actuation system, which are the emptying time, the transient-state time, and the steady-state time. The results also indicate that there is a close correlation between the velocity profile and the relative size of the piston area, where the steady-state time might be negligible when the piston is correctly sized. The emptying time, characterized by the depressurization of the counterpressure chamber, occurs predominantly with choked mass flow rate and constant volume. In this way, an analytical equation to estimate the emptying time has been determined. Moreover, during the transient-state time, the velocity profile is similar to the characteristic behavior of a first order system, therefore, the transient-state time is estimated by the time constant of the system, which was obtained by a linear first order model developed using the fundamental equations that govern the system behavior. The total displacement time, which is a design requirement to size directional valves, can be expressed as the sum of the emptying and transient-state time. Consequently, a set of equations are proposed to size the directional valve using design parameters such as displacement time, piston volume, load force, and supply pressure. The proposed equations were evaluated along with simulation and experimental results, demonstrating their validity and accuracy.

Lean Wrought Magnesium Alloys

Lean magnesium alloys are considered attractive candidates for easy and economical hot forming. Such wrought alloys, defined here as materials with a maximum alloying content of one atomic or two weight percent, are known to achieve attractive mechanical properties despite their low alloy content. The good mechanical properties and the considerable hardening potential, combined with the ease of processing, make them attractive for manufacturers and users alike. This results in potential uses in a wide range of applications, from rolled or extruded components to temporary biomedical implants. The characteristic behavior of these alloys and the optimal use of suitable alloying elements are discussed and illustrated exemplarily.

Symbiotic Approach in a Modular Mobile Robot

This paper presentsthe application of a symbiotic approachin a modular mobile robot. This characteristic behavior might help addressthe challengesin modular reconfigurable robotoperation. The general model symbiosisalgorithm will help decide if the modular part is harmful or beneficial to the performance or task of the robotic systemthru the carrying capacity. The symbiotic behavior is presented and implemented in this paper viamodel-baseddesign with the aid of MATLABSimulink using a 6 wheeled mobile robot with 3 modular body to identify the carrying capacity of the system.Carrying capacity istranslated and used as thedistance and velocity capacity of the design model robotic system.Carrying capacity is greatly influence by the number species or in our case modules it is shown in this paper that carrying capacity are not fixed in quantities but should be consider as functions of the population sizesand function. The mathematical formulation of the idea is to investigate its consequence. Aside from the population size role or interaction.

Countering Biased Judgments of Individuals Who Display Autism-Characteristic Behavior in Forensic Settings

According to expectancy violations theory, displays of behavior considered “unusual” during an interaction will trigger scrutiny of an individual. Such scrutiny may be detrimental in forensic contexts, where deception detection is emphasized. Autistic individuals, in particular, may be scrutinized unfavorably given unusual nonverbal behavior associated with the condition. Across two experiments using between-subjects’ designs, participants (overall N = 3,342) watched a scripted police-suspect interrogation, randomized to view the suspect display autism-related behaviors or none of those behaviors. Autistic behavior biased evaluations of deception and guilt as a function of violating individual behavioral expectations, regardless of whether decisive or ambiguous evidence framed the suspect as guilty or innocent. Promisingly, however, providing an autism information card attenuated such evaluations. Our research extends expectancy violations theory, advances understanding of determinants of forensic judgments, highlights important applied implications for nonverbal behavior displays in the justice system and recommends methods to protect against bias.

Characteristic Behavior of PVDF-Compliant Structure as an End Effector Using Creo Element/Pro Release 5.0

The tremendous area of application of microprocessors and microcontrollers has exhausted the demand for polymers as sensors among the fastest growing technologies of the $18 billion sensor market worldwide. This chapter presents the study of characteristic behavior of a compliance structure made of PVDF (Poly Vinylidene Fluoride) material which is acting as an actuator and sensor, too. The inverse piezoelectric nature of PVDF has been used to produce the required amount of force by applying the voltage at a specific point at the base of the structure which is generating the opening and closing of the end effector. The displacement of the tip of the end effector can be sensed by generated voltage of piezoelectric effect of PVDF.

2D chain layer versus 1D chain: rigid aromatic benzoate disassembling flexible alicyclic dicarboxylate-based lanthanide coordination polymers with enhanced photoluminescence and characteristic single-molecule magnet behavior

Used as photosensitizer and structural separator, aromatic benzoate activator was grafted on cyclopropane dicarboxylate-based lanthanide coordination polymers with efficient photoluminescence and characteristic behavior of single molecule magnet.

Avian Based Intelligent Algorithm to Provide Zero Tolerance Load Balancer for Cloud Based Computing Platforms

Artificial intelligence changes the art of solving the computational problems from defined computing structures into disorganized computing structures with the interference of naturally-inspired activities. On this basis, many algorithms were proposed and applied successfully, those results give complete as well as partial solutions for their applications. In this article, the authors consider the same phenomena and the investigation area is a load balancer. The legitimate aim is to bring a zero-tolerance load balancer by applying artificial intelligence techniques. For this, the authors introduced an algorithm named the Eagle Fly algorithm, which is a natural inspired algorithm, completely based on eagle characteristic behavior. From this, the authors examine how tasks are fetched, computed, and server on-demands are supported. This article proves performance metrics received from eagle fly algorithm is good and the results were compared with other existing natural inspired algorithms.