scholarly journals Intelligent 3D packing using a grouping algorithm for automotive container engineering

2014 ◽  
Vol 1 (2) ◽  
pp. 140-151 ◽  
Author(s):  
Youn-Kyoung Joung ◽  
Sang Do Noh
Keyword(s):  
Work Performance ◽  
Group Technology ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
3D Models ◽  
Computational Time ◽  
Loading And Unloading ◽  
3D Packing ◽  
Packing Method ◽  
Grouping Algorithm

Abstract Storing, and the loading and unloading of materials at production sites in the manufacturing sector for mass production is a critical problem that affects various aspects: the layout of the factory, line-side space, logistics, workers' work paths and ease of work, automatic procurement of components, and transfer and supply. Traditionally, the nesting problem has been an issue to improve the efficiency of raw materials; further, research into mainly 2D optimization has progressed. Also, recently, research into the expanded usage of 3D models to implement packing optimization has been actively carried out. Nevertheless, packing algorithms using 3D models are not widely used in practice, due to the large decrease in efficiency, owing to the complexity and excessive computational time. In this paper, the problem of efficiently loading and unloading freeform 3D objects into a given container has been solved, by considering the 3D form, ease of loading and unloading, and packing density. For this reason, a Group Packing Approach for workers has been developed, by using analyzed truck packing work patterns and Group Technology, which is to enhance the efficiency of storage in the manufacturing sector. Also, an algorithm for 3D packing has been developed, and implemented in a commercial 3D CAD modeling system. The 3D packing method consists of a grouping algorithm, a sequencing algorithm, an orientating algorithm, and a loading algorithm. These algorithms concern the respective aspects: the packing order, orientation decisions of parts, collision checking among parts and processing, position decisions of parts, efficiency verification, and loading and unloading simulation. Storage optimization and examination of the ease of loading and unloading are possible, and various kinds of engineering analysis, such as work performance analysis, are facilitated through the intelligent 3D packing method developed in this paper, by using the results of the 3D model.

Australia—The Hidden Jewel

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Natural Resources ◽  
Value Chain ◽  
Global Economy ◽  
Good Governance ◽  
Developing Economies ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Developed Countries ◽  
The United States ◽  
Dutch Disease

The twenty-first century is being touted as the Asian century. With its stable economy, good governance, education system, and above all the abundant natural resources, will Australia to take its place in the global economy by becoming more entrepreneurial and accelerating its rate of growth, or will it get infected with the so-called Dutch disease? It has been successful in managing trade ties with fast-developing economies like China and India as well as developed countries like the United States. It has participated in the growth of China by providing iron ore and coal. Because it is a low-risk country, it has enabled inflow of large foreign capital investments. A lot will depend on its capability and willingness to invest the capital available in entrepreneurial ventures, its ability to capture the full value chain of natural resources, and to export the finished products instead of raw materials, while building a robust manufacturing sector.

Research of pneumatic conveyor for overloading of fuel pellets

2021 ◽  
pp. 88-96
Author(s):  
N. Spodyniuk ◽  
◽  
L. Horbachenko ◽  
Keyword(s):  
Key Words ◽  
Agricultural Sector ◽  
Raw Materials ◽  
Agricultural Waste ◽  
High Quality ◽  
Fuel Pellets ◽  
Energy Consuming ◽  
Loading And Unloading

The constant development of the country's agricultural sector allows the production of biofuels, such as fuel pellets, from agricultural waste - straw, corn and sunflower husks. However, the transportation of fuel pellets is quite energy consuming. The process of loading and unloading, transportation over long distances requires complex mechanized equipment. The use of a pneumatic conveyor for grain reloading will allow to provide high-quality transportation of fuel pellets. The aim of the article was to investigate the operation of the pneumatic conveyor for overloading fuel pellets, to determine the optimal indicators that affect the productivity of the pneumatic conveyor. Since fuel pellets, as raw materials, are structurally similar to cereals, a study of the pneumatic grain conveyor PTZ-25 was conducted. The dependence of the productivity of the pneumatic conveyor on the lifting height h, m and the length of the pipelines L, m was obtained. The obtained results showed that by reducing the length of the pipelines by four times and the lifting height by half, the productivity of the pneumatic conveyor will increase by 1.15 times. Key words: fuel pellets, pneumatic conveyor, productivity

Manufacturing and Fractional Cell Formation Using a New Binary Digit Grouping Algorithm with a Pwavroid Solution Explorer Toolkit

2014 ◽  
Vol 933 ◽  
pp. 97-105
Author(s):  
Hassan Mroue ◽  
Thien My Dao
Keyword(s):  
Group Technology ◽  
Cell Formation ◽  
Optimal Solution ◽  
Binary Digit ◽  
Final Solution ◽  
Manufacturing Cells ◽  
Additional Cell ◽  
Exceptional Elements ◽  
Grouping Algorithm ◽  
Fractional Cell

A new algorithm is presented in order to search for the optimal solution of the manufacturing and fractional cell formation problem. In addition, this paper introduces a new toolkit, which is used to search for the various candidate solutions in a periodic and a waving (diversified) manner. The toolkit consists of 15 tools that play a major role in speeding up the obtainment of the final solution as well as in increasing its efficiency. The application of the binary digit grouping algorithm leads to the creation of manufacturing cells according to the concept of group technology. The nonzero entries, which remain outside the manufacturing cells, are called exceptional elements. When a lot of such elements is obtained, an additional cell called fractional (or remainder) cell may be formed; the aim of which is to reduce their number. This algorithm was tested by using illustrative examples taken from the literature and succeeded to give better or at least similar results when compared to those of other well-known algorithms.

scholarly journals Modeling of Hypervelocity Impact Experiments Using Gamma-SPH Technique

2017 ◽  
Author(s):  
Jérôme Limido ◽  
Mohamed Trabia ◽  
Shawoon Roy ◽  
Brendan O’Toole ◽  
Richard Jennings ◽  
...  
Keyword(s):  
Computation Time ◽  
3D Models ◽  
Hypervelocity Impact ◽  
Side Impact ◽  
Particle Methods ◽  
Computational Time ◽  
Back Surface ◽  
Tensile Instability ◽  
Particle Hydrodynamics ◽  
And Performance

A series of experiments were performed to study plastic deformation of metallic plates under hypervelocity impact at the University of Nevada, Las Vegas (UNLV) Center for Materials and Structures using a two-stage light gas gun. In these experiments, cylindrical Lexan projectiles were fired at A36 steel target plates with velocities range of 4.5–6.0 km/s. Experiments were designed to produce a front side impact crater and a permanent bulging deformation on the back surface of the target without inducing complete perforation of the plates. Free surface velocities from the back surface of target plate were measured using the newly developed Multiplexed Photonic Doppler Velocimetry (MPDV) system. To simulate the experiments, a Lagrangian-based smooth particle hydrodynamics (SPH) is typically used to avoid the problems associated with mesh instability. Despite their intrinsic capability for simulation of violent impacts, particle methods have a few drawbacks that may considerably affect their accuracy and performance including, lack of interpolation completeness, tensile instability, and existence of spurious pressure. Moreover, computational time is also a strong limitation that often necessitates the use of reduced 2D axisymmetric models. To address these shortcomings, IMPETUS Afea Solver® implemented a newly developed SPH formulation that can solve the problems regarding spurious pressures and tensile instability. The algorithm takes full advantage of GPU Technology for parallelization of the computation and opens the door for running large 3D models (20,000,000 particles). The combination of accurate algorithms and drastically reduced computation time now makes it possible to run a high fidelity hypervelocity impact model.

Development of a 4D Visualization Tool for Construction Planning

2011 ◽  
pp. 13-21
Author(s):  
Takanori Terashma ◽  
Koji Makanae ◽  
Nashwan Dawood
Keyword(s):  
3D Modeling ◽  
Work Performance ◽  
3D Models ◽  
Project Schedule ◽  
Construction Planning ◽  
Progress Control ◽  
Material Data ◽  
Related Information ◽  
Work Style ◽  
Modeling Data

This chapter presents the implementation of a system that visualizes the construction process using 3D modeling data and schedule data to analyze construction planning. Previous papers have emphasized the benefits of visual 4D planning that combines 3D modeling data and process schedule data for work progress control. The proposed methodology offers rapid visualization of work performance with scheduled activity and facilitates construction planning and schedule inspection. Consequently, it should increase productivity and reduce rework. However, even major construction companies will not adopt such a work style, because the existing, well-organized way of working would not be readily changed unless the new style is proven to afford benefits that outweigh the effort and cost required to adapt to the style. The advanced CAD system, for example, is able to simulate the assembly process, and the advanced 3D graphic designer is able to animate the arrangement of objects. Even though each software provides multiple functionalities, the applications in practical use are all independent and specific, such as CAD for designing 3D models, and a project manager for scheduling and analyzing. Therefore, a system that integrates all outputs from each application is required to move from the conventional work style to the new one. This chapter, thus, aims to develop a system that integrates several types of data and enables the simulation of the construction progress by gradually showing 3D models according to the activity schedule. It is also possible to attach material data to each object and to display related information like cost and object properties. The system assumes the following requirements: (1) to import and display the 3D modeling data, (2) to import the project schedule, (3) to link each model and activity, (4) to give the material data on each object to enhance reality, and (5) to show cost accumulation. These functions are supposed to be realized such that the system utilizes the resources previously reserved. Therefore, the system should be able to import a DXF format file for 3D modeling data and access the MDB format database for the project schedule, including costs. The MDB file is originally a database that Microsoft Access creates. Microsoft Project, which is probably the most widely used software for project management, is also able to export the project data in this format. These functions are implemented with Microsoft Visual C++ and DirectX SDK. Although the system displays inaccurate models partially because of the misinterpretation of the DXF file, all of the demands listed above are satisfied currently. The authors of this chapter are now at the stage of implementation of further functions, that is, to display not only structures but also other elements such as the temporal space on the site, the route of delivery vehicles, and the work area of the temporally used heavy machinery, all for the sake of the visualization and analysis of the entire construction site.

Machine Vision Based Non-Magnetic Object Detection and Removal on Moving Conveyors in Steel Industry through Differential Techniques

2012 ◽  
Vol 2 (3) ◽  
pp. 59-70
Author(s):  
K. C. Manjunatha ◽  
H. S. Mohana ◽  
P. A. Vijaya
Keyword(s):  
Object Detection ◽  
Steel Industry ◽  
Material Handling ◽  
Raw Materials ◽  
Industrial Applications ◽  
Vital Role ◽  
Raw Material ◽  
Computational Time ◽  
Video Input ◽  
Intelligent Process

Intelligent process control technology in various manufacturing industries is important. Vision based non-magnetic object detection on moving conveyor in the steel industry will play a vital role for intelligent process and raw material handling. This paper presents an approach for a vision based system which performs the detection of non-magnetic objects on raw material moving conveyor in a secondary steel making industry. At single camera level, a vision based differential algorithm is applied to recognize an object. Image pixels based differential techniques; optical flow and motion based segmentations are used for traffic parameters extraction, the proposed approach extends those futures into industrial applications. The authors can implement smart control system, since they can save the energy and control unnecessary breakdowns in a robust manner. The technique developed for non-magnetic object detection is having single static background. Establishing background and background subtraction from continuous video input frames forms the basis. Detection of non-magnetic materials which are moving with raw materials and taking immediate action at the same stage as material handling system will avoid the breakdowns or power wastage. The authors achieve accuracy up to 95% with the computational time of not more than 1.5 seconds for complete system execution.

scholarly journals فقہ اسلامی میں بیع سلم کاتصور اورمروجہ اسلامی مالیاتی نظام میں بیع سلم کے استعمال سے متعلق اشکالات:ایک فقہی مطالعہ

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Muhammad Abubakar Siddique
Keyword(s):  
Raw Materials ◽  
Manufacturing Sector ◽  
Economic Importance ◽  
Agriculture Sector ◽  
Financial Innovations ◽  
Key Issues ◽  
Necessary And Sufficient ◽  
Future Date

The sharī‘ah invalidates the sale of non-existing items, but salam sale was exceptionally permitted to avoid interest-based financing in commercial as well as non-commercial transactions. Salam sale is an Islamic forward sale contract, which authorizes selling something that is not present during the time of the contract. Salam is a sale agreement whereby the seller receives full price in advance and goods are delivered at a future date. Moreover, it is free from uncertainties and exploitation that is usually involved in interest-based financing. Besides the agriculture sector, currently, this instrument is also being used in the manufacturing sector where the manufacturer would need financing to produce products and/or to buy raw materials. Modern financial innovations introduced different uses of salam sale such as parallel salam, currency salam, salam sukūk etc. There are different fiqh issues related to such uses of salam in modern financial sectors. This article elaborates on the economic importance and conditions that are necessary and sufficient to makethe contract valid from the perspective of the sharī‘ahand also appraises some of the key issues related to modern practices regarding salam.

scholarly journals Real Time Scanning-Modeling System for Architecture Design and Construction

2020 ◽  
Author(s):  
Ye Zhang ◽  
Kun Zhang ◽  
Kaidi Chen ◽  
Zhen Xu
Keyword(s):  
Real Time ◽  
Architectural Design ◽  
Raw Materials ◽  
Computational Design ◽  
3D Models ◽  
Future Research ◽  
Architectural Form ◽  
Related Data ◽  
Time Scanning ◽  
Robotic Construction

The disconnection between architectural form and materiality has become an important issue in recent years. Architectural form is mainly decided by the designer, while material data is often treated as an afterthought which doesn’t factor in decision-making directly. This study proposes a new, real-time scanning-modeling system for computational design and autonomous robotic construction. By using cameras to scan the raw materials, this system would get related data and build 3D models in real time. These data would be used by a computer to calculate rational outcomes and help a robot make decisions about its construction paths and methods. The result of an application pavilion shows that data of raw materials, architectural design, and robotic construction can be integrated into a digital chain. The method and gain of the material-oriented design approach are discussed and future research on using different source materials is laid out.

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