Calculation software(3D CAD) - List of Manufacturers, Suppliers, Companies and Products

[User Report] Architectural Design and Drafting CAD DRA-CAD 1

DRA-CAD all the way. The key points are its simple functionality and sense of speed!

The engineers at Nisso Ken Co., Ltd. have been involved in the design of many large projects such as government offices, commercial buildings, and communication facilities. Most of their drawings are created using DRA-CAD. "We have been using DRA-CAD since the Structural Systems Group developed it, and its user-friendliness and suitability for expressing our work have led us to use it for the past 20 years. One of the main reasons DRA-CAD has become so widespread is its 'simple fundamental concept.' There are also opinions that it is pleasant to use because it feels like drawing by hand." "Nowadays, CAD has become more common, and there are increasing cases where it can be shared across different software. In the future, we hope to see how it can be compatible with DWG, Jw_Cad, and others." For more details, please contact us or refer to our catalog.

Company：構造システム・グループ
Price：Other

Other CAD

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Technical calculation software "CADTOOL Frame Structure Analysis 12"

For the structural analysis of beams, trusses, and frames! A lineup of three products tailored for easy use, even for beginners.

"CADTOOL Frame Structure Analysis 12" is a technical calculation software classified by function. The easy-to-introduce package "Frame Structure Analysis 12 2D" is specialized for calculating planar structures. It allows users to set support conditions, load conditions, and member settings according to actual structures such as beams, trusses, and frames, enabling stress analysis. In addition, we offer a standard package "Frame Structure Analysis 12 3D" for calculating three-dimensional skeletal structures, and a package "Frame Structure Analysis 12 3D Dynamic Analysis" that can also address vibration issues. 【Features】 ■ Easy to use for beginners ■ Available at a low price ■ Three products tailored to different applications ■ Analysis of skeletal structures for beams, trusses, and frames *For more details, please refer to the PDF materials or feel free to contact us.

Company：エービーケーエスエス本社
Price：Other

Other CAD related software
Other CAD

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Rolling Bearing Design Calculation Software 2022 Version.

Added a new option for "Frequency Response Analysis"!

This product is the rolling bearing design calculation software for machine designers, version 2022. New bearing types such as toroidal roller bearings and double-row axial cylindrical roller bearings have been added. Similar to self-aligning roller bearings, curvature ratios fi/fe/fr are used instead of directly inputting the radius, and the curvature ratios are based on the outer ring diameter de. A new option for calculating frequency response has been added via [Calculation] -> [Frequency Response]. Loads are specified as dynamic forces, and displacements, velocities, or forces at the selected position can be displayed, showing both amplitude and phase. 【Features】 <Extensions in the Bearing Calculation> ■ Added double-row axial cylindrical roller bearings as a new bearing type ■ Multi-layer fits can also be defined at the request of several customers ■ Gaps between bearing rings and shafts/housings can be considered ■ Another shaft can be selected for axial contact *For more details, please refer to the PDF materials or feel free to contact us.

Company：MESYS Japan
Price：Other

Software (middle, driver, security, etc.)

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Case Studies: Machine Learning for Materials Research

Case studies on inorganic solids and polymers! Designing new compounds in a cost-effective and time-efficient manner.

High-quality physics-based simulations and machine learning approaches accelerate the research of new materials and shorten the time to market. Through the workflow, it is possible to automatically create hundreds of predictive models using representative machine learning techniques (Partial Least Squares Regression (PLS), Multiple Linear Regression (MLR), Principal Component Regression (PCR), Kernel PLS) combined with descriptors and fingerprints, and select models with high predictive performance (AutoQSAR). For datasets with thousands of data points, similar to AutoQSAR, the workflow allows for the automatic creation of predictive models using deep learning (DeepAutoQSAR, DeepChem/AutoQSAR). To represent the properties of a wide range of materials (polymers, molecules, solids), effective descriptors customized for each system can be utilized.