The universal link planetary energetics photosynthesis heterotrophic conversations human energetics man as a simple heterotroph man as a solar farmer preindustrial complexification fossil fuels fossil-fuelled civilization energetics of food environmental implications energetic correlates grand patterns.

http://library.um.ac.id/free-contents/downloadpdf.php/buku/general-energetics-energy-in-the-biosphere-and-civilization-vaclav-smil-12423.pdf

General energetics : energy in the biosphere and civilization / Vaclav Smil)

To overcome the shortcoming of poor diversity of Artificial Bee Colony(ABC)algorithm,this paper presents a modified Artificial Bee Colony algorithm.Unlike ABC in which onlooker bees choose employed bees from the colony according to proportional fitness choosing strategy,in MABC,in order to decrease the selection pressure and further improve the diversity,it does not set onlooker bees,as a result of no selection pressure on employed bees(solutions).The simulation results show that the presented algorithm can ensure the colony diversity and improve the performances of ABC.

A Modified Artificial Bee Colony Algorithm

Factory design offers many promising capabilities regarding productivity and floor utilization To evaluate the design and help the designer to escape design flaws, digital twin is proposed to support factory design With considering of frequently changing in design phase, a modular approach was proposed to help building flexible digital twin and conducting corresponding changes By using flexible digital twin, designer can quickly evaluate different designs and find design flaws in an easy way And consequently time saving can be benefited A case study of application on real factory is presented to illustrate the advantage

Modular based flexible digital twin for factory design

The recent studies on thermal performance enhancement of the flat plate solar air collectors are critically reviewed primarily regarding the absorber surface modifications, multiple-passes of air, porous absorbers, air-jet impingement on absorber surface, integration of heat storage materials, dual-purpose hybrid collectors and hybrid photovoltaic/thermal solar collectors. The formation of a laminar viscous layer over the surface causes poor heat transfer to airflow. Enhanced heat transfer surface area and residence time of air are vital factors for heat transfer augmentation using baffles, turbulators, roughness, and obstacles. The streamwise pitch ratio of the jet plate has the maximum contribution to friction and, subsequently, the heat transfer. The thermal efficiency of finned and porous absorber varies from 71.4% to 93%. The integration of phase change material and fins with solar air collector enhance daily thermal efficiency by 0.1%–4%, increasing further with honeycomb and porous structures. The application of agriculture waste as sensible heat storage material is an effective alternative to replace conventional materials. Electrical and thermal efficiencies of hybrid solar collector increased with the addition of thermal energy storage by 9% and 5%, which further enhanced by 3% with the addition of fins into the phase change materials. Thermo-economic performance of the dual-purpose collector and hybrid photovoltaic/thermal solar air collector is comparatively cost-effective with environmental benefits. This review article provides an insight into the recent critical findings on the thermal performance enhancement of the flat plate solar air collector to stimulate further developments towards the betterment of sustainable development.

A review on recent developments in thermal performance enhancement methods of flat plate solar air collector

Single row layout models

Welding is a basic manufacturing process for making components or assemblies. Recent welding economics research has focused on developing the reliable machinery database to ensure optimum production. In this paper, the optimization of welding input process parameters for obtaining greater weld strength in the manual metal arc (MMA) welding of dissimilar metals like stainless steel and carbon steel is presented. The Taguchi method is adopted to analyze the effect of each welding process parameter on the weld strength, and the optimal process parameters are obtained to achieve greater weld strength. Experimental results are provided to illustrate the proposed approach.

Process Parameter Optimization in ARC Welding of Dissimilar Metals

This paper presents a simple heuristic to determine a common linear machine sequence for multiple products with different operation sequences and a limited number of duplicate machine types available for the job. The heuristic is based on minimisation of the total flow distance travelled by a product on the linear machine sequence. It is assumed that the flows of products are allowed only in the forward direction, either in-sequence or by-pass. It is also assumed that backtrack movements are not allowed. The effectiveness of the proposed heuristic is demonstrated through the solutions of two typical layout design problems taken from the literature. Subsequently, a number of additional problems are solved and their results are compared with the results applying existing methods. The results indicate that the proposed method can be an effective tool in solving layout design problems.

/pdf/a-simple-heuristic-for-linear-sequencing-of-machines-in-21ccob5my2.pdf

A simple heuristic for linear sequencing of machines in layout design

This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance traveled by products, reduce the number of machines arranged in the final linear sequence, and decrease the total investment cost of the machines used in the final sequence. We assume that product flow runs only in the forward direction, either via in-sequence or bypass movement. We demonstrate the effectiveness of the proposed algorithm by solving a typical layout design problem taken from literature, and several randomly generated problems. Results indicate that the proposed algorithm serves as a practical decision support tool for resolving layout problems in manufacturing facilities.

/pdf/multi-objective-optimization-in-single-row-layout-design-1o1vk8aplj.pdf

Multi-objective optimization in single-row layout design using a genetic algorithm

In this work, wire electrical discharge machining (WEDM) of aluminum (LM25) reinforced with fly ash and boron carbide (B4C) hybrid composites was performed to investigate the influence of reinforcement wt% and machining parameters on the performance characteristics. The hybrid composite specimens were fabricated through the stir casting process by varying the wt% of reinforcements from 3 to 9. In the machinability studies, the WEDM process control parameters such as gap voltage, pulse-on time, pulse-off time, and wire feed were varied to analyze their effects on machining performance including volume removal rate and surface roughness. The WEDM experiments were planned and conducted through the L27 orthogonal array approach of the Taguchi methodology, and the corresponding volume removal rate and surface roughness were measured. In addition, the multi-parametric ANOVA was performed to examine the statistical significance of the process control parameters on the volume removal rate and surface roughness. Furthermore, the spatial distribution of the parameter values for both the responses were statistically analyzed to confirm the selection of the range of the process control parameters. Finally, the quadratic multiple linear regression models (MLRMs) were formulated based on the correlation between the process control parameters and output responses. The Grass–Hooper Optimization (GHO) algorithm was proposed in this work to identify the optimal process control parameters through the MLRMs, in light of simultaneously maximizing the volume removal rate and minimizing the surface roughness. The effectiveness of the proposed GHO algorithm was tested against the results of the particle swarm optimization and moth-flame optimization algorithms. From the results, it was identified that the GHO algorithm outperformed the others in terms of maximizing volume removal rate and minimizing the surface roughness values. Furthermore, the confirmation experiment was also carried out to validate the optimal combination of process control parameters obtained through the GHO algorithm.

Optimization of Process Control Parameters for WEDM of Al-LM25/Fly Ash/B4C Hybrid Composites Using Evolutionary Algorithms: A Comparative Study

Optimum tolerance allocation plays a vital role in minimizing the direct manufacturing cost of mechanical assembly. It is very sensitive due to the variations in manufacturing processes of the comp...

https://journals.sagepub.com/doi/pdf/10.1177/0954406218756439

N. Lenin

Papers

Process Parameter Optimization in ARC Welding of Dissimilar Metals

A simple heuristic for linear sequencing of machines in layout design

Multi-objective optimization in single-row layout design using a genetic algorithm

Optimization of Process Control Parameters for WEDM of Al-LM25/Fly Ash/B4C Hybrid Composites Using Evolutionary Algorithms: A Comparative Study

Tolerance allocation of complex assembly with nominal dimension selection using Artificial Bee Colony algorithm