Digital Logic Method Research Articles

Artificial Intelligence Algorithms in Ice and Snow Tourism Promotion from Digital Technology

The present work is aimed at using the artificial intelligence (AI) algorithm to study the promotion and publicity of ice and snow tourism (IST). Firstly, the urgent needs of IST external publicity are analyzed based on digital technology. Besides, the dynamic vision sensor technology is used to collect data in the distributed Internet of Things structure of the IST publicity system. Then, the AlexNet algorithm is combined with the digital logic method. The research assumption is that the complete IST image based on AI can be formed according to the AlexNet algorithm. The improved AlexNet algorithm and Chi-square test implement the IST poster emotion recognition and IST publicity model. Then, the intelligent customer service of the IST publicity platform is studied. The results demonstrate that after 120 iterations, the accuracy of the sports-oriented publicity method based on AlexNet can reach about 75%. In addition, the accuracy of the recommended IST publicity algorithm based on AlexNet is close to 90% after 80 iterations. Therefore, the model’s accuracy is improved by at least 9.6% compared with the traditional method. The research has practical application value for the digital and intelligent development of the IST industry.

Development of sustainable polymeric materials for ceiling tiles application and optimization by digital logic method using thermal insulation properties as the functional requirement

The swift rise in utilizing natural materials as additives in the manufacture of numerous composite systems has fueled the desire in many researchers and contemporary industries to create natural fiber composites that can be used as sustainable, low-cost substitute, as well as eco-friendly and eco-efficient materials for different applications. Although, previous studies have worked on the viability of fiber reinforced composite as a sustainable materials for ceiling tiles, the thermal properties of these composites however were not assessed. In this study, natural fibers such as sisal, jute, bagasse, cotton fibers, and coconut shell ash were incorporated into epoxy, high-density polyethylene (HDPE), polypropylene (PP), low-density polyethylene (LDPE), and polyvinyl chloride (PVC) respectively. The sisal fiber used was untreated while other fibers such as jute, bagasse, and cotton fibers were treated with sodium hydroxide (NaOH) and detergent. Composite samples were prepared using two production techniques. Epoxy-based samples were produced using the hand layup method while compression molding technique was employed in the preparation of HDPE, LDPE, PVC, and PP-based composites at a compression temperature that ranges between 125 and 160 °C. These samples were subjected to tests in order to measure their density and thermal properties. The results obtained from the tests for each material developed were used in the determination of the best material for ceiling application via the digital logic method. Polypropylene-reinforced with 20 wt.% bagasse fiber had the best performance index and figure of merit with values of 91.11 and 104.72 respectively. Hence, recommended for ceiling tiles production.

Layer thickness optimization of ceramic composite for body armor by considering volume, weight, and cost

This study investigates visualization of optimized layer thickness with a ternary diagram by considering Volume, Weight, and Cost priorities to determine the composite structure of alternative ceramics to use in body armor application by using the Digital Logic Method (DLM). Three criterion priorities (volume, weight, cost) have been investigated to help designers decide on optimum ceramic material for their applications. Alumina (Al2O3), silicon carbide (SiC), silicon nitride (Si3N4), and boron carbide (B4C) were analyzed and ranked to decide for material selection based on priorities. The analysis results showed that silicon nitride (Si3N4) had the maximum performance index (PI) point (80.0) based on the volume priority. On the other hand, while boron carbide (B4C) had the maximum PI point (76.4) in terms of the weight priority, alumina (Al2O3) was determined to be the best material according to the cost priority. PI point of alumina (Al2O3) was calculated as 100. A ternary diagram was developed for decision-makers to visualize material selection performances. The optimization of the ceramic composite layer thickness of the alternative ceramic materials is visualized by considering three criteria.

Application of Digital Logic Method in the Selection of Suitable Polymeric Materials for Ceiling Tiles Production

Polymeric materials are widely employed in the production of ceiling tiles due to their attractive qualities such as thermal insulation, low water absorption characteristics, light weight, availability, cost effectiveness and their good surface finishing. This study focused on the production, property characterization and the optimization of five different polymer composite material which are 20SE (20 wt.% of sisal reinforced epoxy), 20JH (20 wt.% jute fiber reinforced high density polyethylene), 20BP (20 wt.% bagasse fiber reinforced polypropylene), 6CP (20 wt.% coconut shell ash reinforced Polyvinyl chloride) and 20CL (20 wt.% cotton reinforced low density polyethylene). Selected properties considered are flexural and tensile strengths, thermal conductivity, water absorption and bulk density. The values obtained after characterization were evaluated using digital logic method so as to determine the composite material with the optimum property while putting their cost effectiveness into consideration. The result showed that 20BP (20 wt.% bagasse fiber reinforced polypropylene composite) had the highest performance index and figure of merit, making it the most preferred polymeric composite for ceiling tiles application.

Material Selection for the Production of Roof Tiles using Digital Logic Method

Roof tiles are important for roofing in housing construction. Different roof tiles are made of fired ceramics and concrete, polymer composite and metals. In this study, digital logic method (DLM) was employed in analyzing properties obtained for samples tested, with the view of optimizing, towards selecting most suitable material for roof tiles production. Five materials were considered for selection in the production of roof tiles, each sample containing granite dust (GD); FB-30 (30% by weight GD, 70% by weight clay), CT-35 (10% by weight cement, 35% by weight GD and 55% by weight fine sand), CCT-30 (10% by weight cement, 30% by weight GD, 20% by weight fine sand, 40% by weight clay), POL-02 (2% by weight GD, 98 % by weight high density polypropylene) and AL-08 (8% by weight GD, 92% by weight Aluminum alloy-AL 6061) samples. Properties evaluated for material selection are flexural, compressive and tensile strengths, bulk density, thermal conductivity, wear resistance, and water absorption. DLM involved ranking of samples based on values obtained for figure of merit (FOM). FOM values for FB-30, CT-35, CCT-40, POL-02, and AL-08 was 3.68, 3.83, 3.55, 14.43, and 2.42 respectively. Thus, optimum material for roof tiles was POL-02 based on its highest value of 14.43 and presented as a durable and sustainable roof tiles material..

Design of Polypropylene Random Co-Polymer Pipe Cutter

The purpose of this research is to design disc cutter for cutting poly propylene random co-polymer (PPR) and high density polypropylene (HDP) extrudates. Analytical methods and software including like Catia and ANSYS are used to design the tool and analyze the effect of load on the cutter. In designing the disc Cutter, using the digital logic method of material selection, the optimum material, carbon steel 19573 with the least cost, locally obtainable, manufacturable and with hardness 63.42HRC is selected. The desired optimum combination of hardness and toughness of the cutter is obtained using hardening temperature 10200C, tempering temperature 2000C, and tempering time 120min which finally gives a hardness value of 63.42HRC. The strength and quality of cut edge are tested by cutting hard plastic PPR pipe with maximum thickness of 12.9mm. By the same setup of the cutter used in the factory the prototype disc cutter serves and its failure rate improves from cutting 150 to 250 PPR pipe pieces which was recognized by the industry. The research results can be used to design the cutter disk and fabricate a cutter with enough strength to cut different thickness of PPR pipes without breakage, reducing unwanted additional cost.

Renewable Energy Power Plant Ranking In Iran, Considering the Sustainable Development Aims Via Passive Defense Viewpoint

Custodians in energy field need some tools for decision-making support, for the best alternative classic power plant selection with renewable fuel. In the study a tool has been presented, supporting the custodians, that economic, biologic and social side of power plant construction with renewable fuels will be studied. Then a study method will be presented, using the combining of modified digital logic method and VIKOR method for the solvation of multi-criteria problem, ranking and weighting the electricity generation power plant; considering the quantitative and qualitative criteria. For better understanding of suggested method, a case study will be presented for Iran, and five power plants will be evaluated and ranked, considering the country capacities. The aim of suggested model is the assessment of different power plant and finding the best power plant via the passive defense viewpoint. Keywords- VIKOR, modified digital logic, renewable, sustainable development, multi-criteria decision making. MATERIAL AND METHODS 1. Data gathering method As stated before, this paper addresses the evaluation of renewable energy power plants with consideration of sustainable development aims. Therefore, some criteria and sub-criteria with direct effect on decision-making are indetified by reviewing the literature and using the experts' knowledge. Then two questionnaires are used, first one for the importance and weight determination via the modified digital logic method and the second one via the VIKOR method for the power plant ranking. Finally, a novel hybrid method is presented for power plant ranking based on determined indices.

Selection of India’s energy resources: a fuzzy decision making approach

An optimum selection of potential future energy resources is now need of all the nations. This study aim1s to rank viable energy resources for India. We consider six sources of energy namely, hydropower, solar, wind, coal and lignite, gas and liquid, and nuclear energy. The objective is to provide a quantitative analysis for the selection of most feasible and sustainable source of energy by critically analyzing them based on six criteria namely: feasibility, investment ratio, useful life, operational and management cost, risk in operation and pollutants emission. We have employed fuzzy and interval-based multiple attribute decision making approaches in order to consider uncertainty associated with the data. The criteria understudy are prioritized using modified digital logic method. Our results show that wind and solar energy are the most effective sources of energy due to their ease of access, lack of risk and eco-friendly nature.

A NOVEL METHOD FOR MATERIAL SELECTION IN INDUSTRIAL APPLICATIONS

Selection of material for a particular task in an industrial process is beneficiary for performance enhancement and profit margin. Inappropriate chosen material may reduce the maximum efficiency of the machines. As a wide range of material selection methods are available that consider various conflicting factors such as mechanical, environmental and chemical factors. In this study, a combination of non-linear normalization with weighting factor approach method is illustrated and explained. This method helps in selecting the material under quantitative analysis and capable of selecting the appropriate material using digital logical method. To overcome the consequence in the digital logic method a non- linear normalization is combined with DL method is employed to obtain better result. The results of these two methods are compared to explore the flexibility in the MDL method. The proposed model is to support significantly for selecting suitable material in industry applications. The result of the proposed model obtains M5 is the best suitable material.

Digital logic and knowledge-based system for the automotive piston material selection

The aim of this paper is to apply material selection methods for selecting the most appropriate material for piston application. Initial candidate materials such as, grey cast iron, Ti and Al alloys, 20% SiC reinforced Al and Al-Cu alloy matrix composites and WC-TiC reinforced Ti matrix composite were analysed based on their performance requirements. Digital logic (DL) approach was implemented for material selection and knowledge-based system (KBS) was used for comparison purposes. In DL method, performance index (PI) was measured using the scaled property and weighting factor. The figure of merit was obtained based on PI and relative cost of each candidate material. In KBS, a MATLAB network tool was employed for comparison purposes. The highest PI was found for 20% SiC reinforced Al-Cu alloy composite compared to other materials and hence can be selected for the new generation automotive piston application.

Material selection for light-weight naval crafts using the modified digital logic method: dealing with ranking abnormalities

The modified digital logic (MDL) weighting technique along with the weighted-sum-method (WSM) is applied to a material selection problem for light-weight naval crafts. Both the standard linear and non-linear normalisation schemes have been applied on a selected set of material properties. A ranking abnormality analysis is conducted to examine the robustness of the selection process. It is believed that the MDL method can be effective in similar applications, owing to its simplicity in finding the criteria weights through pair-wise judgements by the designer. In order to make the selection method more robust, it is suggested to define a set of fixed scaling factors in normalising the material data, rather than using maximum or minimum values of each decision matrix. The implementation of the fixed scaling factors for normalisation can significantly reduce the abnormality in ranking results as shown in the performed case study.

Replacement of radiopacifier in mineral trioxide aggregate; characterization and determination of physical properties

Objective Investigation of the replacement of bismuth oxide by zirconium oxide in mineral trioxide aggregate (MTA) and characterization and evaluation of the radiopacity and physical properties of varying replacements of zirconium oxide mixed at either water–powder or water–cement proportions of 0.3. The suitable filler loading of zirconium oxide for Portland cement in a MTA system for use as a root-end filling material was thus determined. Methods Portland cement replaced by zirconium oxide in varying amounts ranging from 0% to 50% in increments of 10 was mixed with water either at a water/powder (WP) proportion or at a water/cement (WC) proportion of 0.3. Portland cement and ProRoot MTA were used as controls. The materials’ microstructures were investigated using optical light microscopy. The radiopacity, strength, setting time, water uptake, solubility, sorption and porosity of the specimens were also evaluated. The optimum formulation was selected using the digital logic method. Results Portland cement replaced with 30% zirconium oxide mixed at a water/cement proportion of 0.3 resulted to have the optimum combination of properties. This material exhibited radiopacity, compressive strength, setting time, water uptake, solubility and sorption comparable to ProRoot MTA. Both microscopy and the evaluation of porosity from the solubility and sorption experiments indicated a degree of porosity consisting mainly of capillary pores and entrapped air voids. Significance A filler loading of 30% zirconium oxide to Portland cement mixed at a water to cement proportion of 0.3 resulted in a material with comparable properties to mineral trioxide aggregate.

A novel method for materials selection in mechanical design: Combination of non-linear normalization and a modified digital logic method

In this investigation, a novel numerical method is proposed for materials selection. This method is based on the well known weighting factor approach while combining non-linear normalization with a modified digital logic method. The proposed mathematical functions and their applicability to the materials selection process is verified by examining two case studies in mechanical design and comparing the results with those obtained from the classical weighted property method. It is concluded that the new approach is capable of providing more reasonable selections as opposed to those obtained from the existing method.