Parametric Optimization for Improved Surface Finish in Cnc Turning Operation

The parameters affecting the roughness of surfaces produced in the turning process for various materials have been studied by many researchers. Design of experimentswere conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness.This paper presents a novel approach for the optimization of machining parameters on turning of thetool work piece combination of the Raw material HCHCr with cemented carbide and CBN tool. The parameters –Speed, Feed and Depth of cut to be maintained for HCHCr weredetermined in terms of optional values or levels for the tool. Historic data wasreferred from the records of the company to understand the effect of introducing variation in the input to realize a given output as a ‘Response' for surface finish. Statistical data analyzed using ANOVA, DOE and Regression to identify the given machining parameters for the operation. Experimental run conducted for validating the values realized through this Analytical treatment of the data.Experimental outcomes have proved that theresponses in turning process can be enhanced efficiently through this freshapproac

Synthesis and characterization of indium-doped ZnO nanoparticles by coprecipitation method for highly photo-responsive UV light sensors

In this investigation, we employed a cost-efficient co-precipitation technique to synthesize nanostructures of Indium-doped ZnO, incorporating varying percentages of Indium (0.25 %, 0.5 %, 1 %, 2 %, and 4 %) into the ZnO lattice. These Indium atoms were introduced either by replacing oxygen (O2) or occupying tetrahedral interstitial spaces within the structure. The resultant materials exhibited an average crystal size ranging from approximately 5 to 10 nm and displayed a highly crystalline nature. The UV–visible spectroscopy of these synthesized materials, revealing an excitation spectrum spanning 380 nm–395 nm. Photoluminescence measurements showed two distinct emission peaks at 390 nm and 471 nm, originates from the recombination of the free excitons through an exciton-exciton collision process and the presence of defects or impurities in the In–ZnO nanostructures. Defects in the crystal lattice, such as oxygen vacancies or interstitial defects, can create energy levels within the bandgap. Subsequently, we evaluated the suitability of these Indium-doped ZnO nanostructures for light sensor applications. Response and recovery times to infrared (IR), visible, and ultraviolet (UV) light was recorded. Remarkably, the nanostructures exhibited exceptional response and recovery times, in UV light compared to their performance with IR and visible light. This significant performance of synthesized materials in UV light shows the cost-effective co-precipitation method in fabricating Indium-doped ZnO nanostructures for UV light sensing applications

Engineering Human Gait and the Potential Role of Wearable Sensors to Monitor Falls

Falls and falls related injuries are the major causes of non-fatal injuries in older adults. With recent advances in mathematics, science and technology, many scientists and engineers are devoting their efforts to prevent falls or to diminish the negative health outcomes after falls. In this chapter, we briefly review major engineering approaches to recover or augment the human gait function pre- and post-falls. Given the proliferation of wearable sensors and the availability of computational resources in the last decade, we focused on the role of wearable sensors to monitor gait instabilities and potentially prevent falls. We reviewed the general framework for gait monitoring using wearables and its utility in real-life settings such as homes or retirement communities. In the last part of the chapter, we focused on recent contributions that have proposed wearable sensors for gait monitoring and fall inferences