Minimum Propulsion Power Assessment of a VLCC to Maintain the Maneuverability in Adverse Conditions

The International Maritime Organization (IMO) Guidelines for Determining Minimum Propulsion Power to Maintain the Maneuverability in Adverse Conditions is the sole regulation imposed on the routine design and approval of all new-built ships as a part of EEDI requirements. This study reviews the development of the guidelines and summarizes the recent amendments of MEPC76(2021). The present assessment is conducted for a new VLCC design following the new guidelines aiming at investigating the influence of alternative wave added resistance evaluation methods and the propeller design features on the assessment results. It is found that the most simple empirical formula method proposed by MEPC76 is not conservative enough, as could have been expected. On the other hand, spectral analysis methods based on empirically obtained and properly validated wave added resistance responses can produce consistent results. Moreover, discussions are made from the perspective of propeller design to meet the regulatory requirements. It is pointed out that the light running margin is a key design parameter, and propellers with larger light running margins are more advantageous for satisfying the minimum propulsion power regulation, thus ensuring the navigation safety in adverse conditions. These obtained insights and know-how can support the engineers in obtaining optimal design solutions.

Modification and Performance Test of Prototype I Washer Machine

The sweet potato (Ipomoea batatara L.) is one of the world’s important tubers with a production of more than 133 million ton. In 2019, the Laboratory of Agricultural Equipment and Machinery designed a Prototype I Washer The machine is not optimal, reaching 67.13%, and it needs to be modified because the skin of the sweet potato is cleaned and exfoliated so that it can reduce the quality of the sweet potato. The method used in this research is engineering, which is a non-routine design activity with new construction of process and product. Base on Matlab program, the result of the modification research and performance tests, is by using the prototipe I washer, the percentage of the level of cleanliness was 80.02%. Where with an increase 67.13% using the performance machine. Based on the evaluation of technical feasibility and engine performance tests, it is found that the propulsion power needs 1 HP and the deflection of the frame is only 13.06 mm. The theoretical capacity of the engine is 231.68 kg.hour-1, the actual capacity is 100 kg.hour-1 with an efficiency of 44.39%, the noise level of 77 dB and the engine vibration of 13.43 m.s-1.

A Computationally Efficient Method That Predicts Light-Around for Both Gas- and Liquid-Fueled Combustion

Controlling light-around and re-light presents design challenges for gas-turbine manufacturers. Researchers have studied the detailed phenomena in laboratory experiments to elucidate controlling factors and modes of behavior. Several groups have reported high-fidelity simulations of the fluid dynamics, turbulent mixing and light-around phenomena using large eddy simulations (LES) on highly refined computational meshes. While such simulations can reproduce experimental observations, they are computationally expensive and tend to be impractical for routine design analyses. In this work, we present a less computationally intensive CFD approach, which has been tested against laboratory experiments using both gaseous-fuel injections and liquid-fuel injections. Results show that a consistent practice of mesh and model settings can be used for all the test cases considered. The simulations generate light-around sequences and total-ignition times that agree well with experimental measurements. Observed trends are predicted when varying burner spacing as well as the fuel and injection method.

Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)

Designing railway infrastructure is a knowledge-intensive task. Although there are a number of mature design authoring systems available, their support for dynamically incorporating domain-specific engineering knowledge is very limited. At the same time, a standardized digital representation of railway engineering knowledge (such as building codes and best practice) does not exists. To overcome this deficiency, this paper proposes the use of Knowledge Based Engineering (KBE) to automate routine design tasks by considering multiple knowledge sources. In this scenario, KBE is used to support a Railway design authoring system. To ensure maximum transparency in the design of the developed KBE application, graphical ‘Business Process Model and Notation’ (BPMN) has been used in combination with ‘Decision Model and Notation’ (DMN) to formalize the underlying engineering knowledge. The KBE application has been developed according to the Methodology for Knowledge-Based Engineering Applications (MOKA). An evaluation of the BPMN/DMN approach shows that it meets up to 58% of the acceptance criteria found in the literature. In addition, BPMN and DMN can already be used in the early capture phase of MOKA and its workflows can be developed into an executable KBE application in the subsequent phases. The results of the test example discussed here show that time savings of up to 97.5% can be achieved in the execution of the KBE application.

Management of trauma cranioencephalic (MTC) in kids against the pandemic of COVID-19: a integrative review

Introduction: The SARS-CoV-2 pandemic affects all the segments, including the healthcare centre services. Thus, understanding how emergency care is performed in cases of TBI in pediatric patients is essential. Objectives: To analyze changes in trauma management in children since measures to combat the pandemic have fostered a change in hospital routine. Design of study and location: The work was carried out with students from Goiás, Distrito Federal, Amazonas, Espírito Santo and São Paulo who organized themselves at a distance to deal with relevant and current issues in an integrative manner. Methods: Integrative review based on the PubMed and SciELO research databases. Results: In clinical management, light TBI corresponds to most pediatric cases, therapy consists of monitoring and stabilising the patient. In surgical management, the main objective is decompression of the cephalic mass and surgical intervention in the resolution of parenchymal hematomas. Neuroimaging exams are also essential for good conduct and evaluation; However, the concern with the excessive use of these grew and, therefore, it was necessary to reduce the number of unnecessary requests, avoiding hospital expenses. In addition, telemedicine assists in care ensure greater protection, since it reduces the risk of contagion. Conclusion: Therefore, it is evident that the SARS-CoV-2 pandemic affected the treatment of TBI cases in children. Thus, there was a need for restructuring in the hospital routine.

3D CORE CALCULATION BASED ON THE METHOD OF DYNAMIC HOMOGENIZATION

The classical two-step calculation scheme has been extensively used to perform three-dimensional deterministic core calculations thanks to its fast results. On the other hand, direct 3D transport calculations and 2D/1D Fusion methods, mostly based on the method of characteristics, have recently been applied showing a prohibitive computational time for routine design purposes as well as in the context of multiphysics and core depletion calculations, due to current machine capabilities. The Dynamic Homogenization method is here proposed as an alternative technique that may lie between the classical and the direct approaches in terms of precision and performance. In this work, the method is applied to the NEA ”PWR MOX/UO2 Core Benchmark” for a 3D configuration. Comparison of pin power relative errors and computational cost against the two-step and direct approaches are presented.

THREE WAYS OF INTEGRATING COMPUTER-AIDED DESIGN AND KNOWLEDGE-BASED ENGINEERING

Knowledge-based engineering (KBE) systems allow an easy adaption of designed artefacts to new functional or design requirements and automating routine design tasks. In the following article the author wants to focus on the three main concepts of linking CAD and KBE and answer the research questions (1) in which way is integration, embedding and coupling of KBE to a standard CAD system like Autodesk Inventor available and (2) how can the single approaches be compared in terms of modelling effort, user competences and system performance.

Maximizing performance of apparel manufacturing industry through CAD adoption

Textile and apparel manufacturing industry of India is second highest employment generator sector and largest contributor to India’s GDP. Unfortunately, it lacks behind in innovations and adoption of technology to meet the challenges. The basic problem remains as how to bring varied designs to market quickly with less efforts and cost. The adoption of CAD technology offering enormous benefits to apparel manufacturers in India. It makes quick and efficient revisions in apparel design changes including colour adjustments on fabric pattern and resizing garments. CAD system enable designers to produce more accurate designs with less chance of mistakes by saving cost and time. Its integration with CAM offers many advantages during manufacturing process and makes the apparel production faster with consistent and accurate results every time. As all information related to design and production are stored in file format, it makes very easy to produce the same design again without repetition of previous activities. The introduction of CAD technology in the industry resulted to improved efficiency of the design process due to automation of routine design tasks, increased employee productivity and shortened lead time in the product development process. This study highlights on adoption of CAD technology, limitations and its impact on business.