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Description
Ansys Sherlock stands out as the sole reliability physics-based tool for electronics design that delivers quick and precise life expectancy assessments for electronic components, boards, and systems during the initial design phases. By automating the design analysis process, Ansys Sherlock enables the rapid generation of life predictions, thus eliminating the "test-fail-fix-repeat" cycle that often hampers development. Designers can effectively model the interactions between silicon–metal layers, semiconductor packaging, printed circuit boards (PCBs), and assemblies, allowing for accurate predictions of potential failure risks stemming from thermal, mechanical, and manufacturing stresses, all prior to creating prototypes. Additionally, Sherlock's extensive libraries, which house over 500,000 components, facilitate the seamless transformation of electronic computer-aided design (ECAD) files into computational fluid dynamics (CFD) and finite element analysis (FEA) models. Each of these models is equipped with precise geometries and material properties, ensuring that stress information is accurately conveyed for reliable predictions. This capability not only enhances design efficiency but also significantly reduces the risk of costly errors in the later stages of product development.
Description
Stallion 3D rapidly produces aerodynamic performance metrics, including lift, drag, and moments, for both new and existing CAD models. It offers exceptional RANS results without the need for manual grid creation, as the grid generation process within Stallion 3D is entirely automated. This feature effectively removes one of the most time-consuming challenges in computational fluid dynamics (CFD). Utilizing its unique CFD algorithm known as HIST, Stallion 3D accurately forecasts the aerodynamic characteristics of your designs. The software seamlessly imports CAD models and generates the necessary 3D aerodynamic data to validate your designs and support your success. It provides detailed reports on lift and drag forces, as well as yaw, roll, and pitch moments along specified coordinate directions. Additionally, it includes 2D line graphs that illustrate Cp, velocity, Mach number, density, and temperature at constant coordinate locations across the STL surface, allowing users to visualize parameters such as Cp (x) at various span locations along the wing. Overall, Stallion 3D streamlines the aerodynamic analysis process, making it more efficient for designers to achieve optimal performance.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ansys
Founded
1970
Country
United States
Website
www.ansys.com/products/structures/ansys-sherlock
Vendor Details
Company Name
Hanley Innovations
Country
United States of America (USA)
Website
www.hanleyinnovations.com
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
Product Features
CAD
2 1/2-Axis Milling
2D Drawing
3-Axis Milling
3D Modeling
4-Axis Milling
5-Axis Milling
Civil
Collaboration
Database Connectivity
Design Analysis
Design Export
Document Management
Electrical
Hole Making
Mechanical
Mechatronics
Presentation Tools
Simulate Cycles
Spiral Output
Structural Engineering
Toolpath Simulation
User Defined Cycles
