AlarvyCAD - 3D CAD Modeler for Turn, Duct and Sheet Metal

AlarvyCAD is India's first 3D CAD modeling software. It is a simple 3D CAD modeler with three modules.

• Turn module - for creating turned parts
• Duct module - for creating 3D models and unfolds of Ducts
• Sheet Metal module - for creating sheet metal parts

Unlike generic CAD modelers, which are suitable for creating any type of parts, AlarvyCAD is a specific CAD modeler with features specific to create turned parts, Ducts and sheet metal parts. This reduces lot of unwanted functionalities and makes the user interface very simple. AlarvyCAD helps you to create detailed 3D models faster than any other modeler. AlarvyCAD reduces number of clicks extensively to create models with

Auto-dimensioning
Auto-constraints
Auto-expanding grid
Auto-view change for sketching
Sketch self intersection checks
Smart checks for feature creation

Demo Video of AlarvyCAD

While creating features, AlarvyCAD automatically changes view for sketching. It applies auto-constraints like horizontal constraint, vertical constraint and grid snap to make sketching faster. Grid expands automatically when sketch points are outside grid limits. While sketching it auto-checks for sketch self-intersection and invalid sketching profiles. It auto-dimensions the features thereby improving productivity to a great extent.

AlarvyCAD files are saved in simple json format and is an open file format based on feature data rather than B-Rep data. This makes AlarvyCAD files smart rather than dumb 3D models. This helps to facilitate easy integration with any CAM software and apply CNC routines specific to features. Detailed documentation of AlarvyCAD file format is available in help. The 3D models generated in AlarvyCAD can be saved in other formats such as STEP, STL(ASCII), STL(Binary), OBJ, GLTF, GLB files.

APIs and Plugin Creation
For OEMs, APIs are available for integrating this all modules. It can be integrated in various methods:

1. APIs for integrating the geometry engine/3D Kernel of AlarvyCAD, as an exe which gives output of 3D models in STEP format or threejs mesh data or STL, etc.
2. AlarvyCAD modules can be directly integrated within any Desktop/Web application where it can show the 3D viewer interface of AlarvyCAD for displaying output of 3D models. Even the user interface can be shown if needed.
3. Plugins on top of AlarvyCAD can also be created.
4. All modules of AlarvyCAD are also available as a cloud version and can be put up either in public cloud or in private servers for providing the software as an online CAD.

OEM license for Machine tool manufactures and CAD/CAM Companies are available.

AlarvyCAD Turn module

AlarvyCAD Turn module contains multiple features specifically to create 3D CAD models of turned parts or revolved parts or parts that can be manufactured in lathes and turning centres. AlarvyCAD Turn module comes with the following features

• Revolve
• Subsection
• Step
• Fillet
• Chamfer
L1 x L2
L1 x q
CL x q
• Grooves
Rectangular Groove
Trapezoidal Groove
Filleted Rectangular Groove
Filleted Trapezoidal Groove
• Holes
Simple Hole
CounterSink Hole
CounterDrill Hole
Tapered Hole
CounterBore Hole
Circular Hole patterns
• Threads
Right Handed Thread
Left Handed Thread

3D models generated in AlarvyCAD Turn module can be saved in formats such as STEP, STL(ASCII), STL(Binary), OBJ, GLTF, GLB files. 3D models in GLTF and GLB formats contain 3D model with dimensions. GLTF and GLB files can be directly opened in Windows default 3D Viewer app or in any free GLTF and GLB Viewers for phones, making it easier to share with third party manufacturing vendors.

Demo Video of AlarvyCAD Turn Module

Reseller enquiries and OEM bundling with CNC Lathes and Turning machines can be sent to support@alarvy.com.

AlarvyCAD Duct module

AlarvyCAD Duct module is a stand-alone desktop application to create 3D models and Unfold of complex custom duct types quickly with editable parameters for each type of duct. AlarvyCAD Duct module comprises multiple features specifically to create 3D models and Unfold of various genre of Ducts such as

• Cylinders
Cylinder
Two Segment Elbow
Cylindrical Y Section
Offset Cylinder
Multisegment Elbow
Equi-Spaced Multisegment Elbow
• Cones
Cone
Offset Cone
• Lofts
Rectangle Circle Loft
Triangular Loft
Rectangular Loft with Arcs
Circle Rectangle Loft
Rectangular Loft
• Intersections
Cylinder Cylinder Intersection
Cylinder Cone Intersection

Demo Video of AlarvyCAD Duct Module

3D model of the Ducts can be saved in STEP format and Unfold of the Ducts can be saved in DXF format along with bend lines. Both 3D models and Unfold generated in AlarvyCAD Duct module can be either saved together or separately in other formats such as STL(ASCII), STL(Binary), OBJ, GLTF, GLB files.

3D models in GLTF and GLB formats contain 3D model with respective parameter dimensions. GLTF and GLB files can be directly opened in Windows default 3D Viewer app making it easier to share with third party manufacturing vendors. Free GLTF and GLB Viewers for phones are also available.

Multilingual support is available for 7 languages currently. (German, French, Italian Spanish, Japanese, Chinese-traditional and Chinese-Simplified). On demand we can add support for other languages. Reseller enquiries and OEM bundling with sheet metal cutting machines, CNC turret punches, Laser, Plasma, and Waterjet cutting machines can be sent to support@alarvy.com.

AlarvyCAD Sheet Metal module

AlarvyCAD Sheet Metal module contains multiple features specifically to create 3D CAD models of sheet metal parts that can be manufactured in Turret punch presses, press brakes, laser, waterjet, plasma, woodcutting machines, etc.

• No code creation of User Defined Features (UDF)
• Automatic addition of UDFs to toolbar
• Feature based Open file format in *.json
• Easy Integration with CAM software
• 3D model can be saved in STEP, STL(ASCII), STL(Binary), OBJ, GLTF, GLB files
• 3D model export with dimension in GLTF Format, which can be opened in Windows
• 2D Unfold can be generated in DXF Format

Demo Video of AlarvyCAD Sheet Metal module Beta

AlarvyCAD Sheet Metal module comes with the following features:

AlarvyCAD Sheet Metal Features

AlarvyCAD WebApp

AlarvyCAD webapp is the same 3D CAD modeler mentioned above that can be run in any browser. AlarvyCAD webapp can be hosted in your private server or cloud depending on your customer needs. There is no difference between the desktop app and webapp in terms of user interface and functionality.

• No need to install software or plug-ins or upgrades in client machines
• Access anywhere anytime from your browser
• Pay per use licensing

OEM license for Machine tool manufactures and CAD/CAM companies are available.

AlarvyCAD WebApp

AlarvyCAD Nest module

In AlarvyCAD Nest, 1DNest option is for Bar/Pipe Nesting, which can nest bars, pipes, sections, etc.

• Single-part nesting in Single-Bar
• Multiple-part nesting in Single-Bar
• Multiple-part nesting in Multiple-Bars

In AlarvyCAD Nest, 2DNest option is for nesting sheet metal parts, wood panels, fabric cuttings, paper cartons, etc. It provides compact layouts and reduces scrap to a great extent thereby reducing material cost.

AlarvyCAD 2DNest Result

Demo Video of ALARVY Bar/Pipe Nester AlarvyCAD Nest module is available as a desktop version as well as a webapp version that can be run in any browser. AlarvyCAD Nest module webapp can be hosted in your private server or cloud depending on your customer needs. There is no difference between the desktop app and webapp in terms of user interface and functionality.

• No need to install software or plug-ins or upgrades in client machines
• Access anywhere anytime from your browser
• Pay per use licensing

OEM license for Machine tool manufactures and CAD/CAM companies are available.

ALARVY Feature Recognizer

Feature Recognition (FR) is the process of recognizing domain specific features from imported 3D CAD models, which do not contain any feature information. ALARVY Feature Recognizer is a set of algorithms which can recognize various features from 3D models from STEP Format. ALARVY Feature Recognizer currently has 3 modules and can recognize features specific to these domains

• Machining Feature Recognition
• Sheet metal Feature Recognition
• Turning Feature Recognition

Machining Feature Recognition can recognize the following features: Sheet Metal Feature Recognition can recognize the following features Turning Feature Recognition can generate the Turn Profile.

Demo Video of ALARVY Feature Recognizer

ALARVY 3D Part Recognizer (Patented)

Alarvy 3D Part Recognizer is an AI/ML(Artificial Intelligence/Machine Learning) engine to automatically recognize parts in manufacturing using machine vision within milliseconds, which can be used for various downstream activities like

• Assembly operations where multiple parts are to be recognized automatically and assembled.
• Automatic part recognition and sorting for packaging, inspection, assembly, etc.
• Automatic part segregation after 3D printing multiple parts.

Alarvy 3D Part Recognizer is a patented technology built using Convolutional Neural Network. The application is developed using python with OpenCV, PIL, Keras using TensorFlow as backend, ThreeJS is used for processing the 3D model and automatically creating training dataset for machine learning. The AI/ML Part Recognition Engine is designed to be rotational invariant in all the 3 axes, colour invariant and scale invariant. Hence, we can give images of the parts rotated in any orientation about any axis and with any size.

For the Alarvy 3D Part Recognizer, initially 3D models of the parts to be recognized are given as input. These models are used internally for creating recognition datasets without any user interaction to train the Neural Network. This is a one time flow and after that, just an image/photo of any part in any orientation can be given as input for part(s) recognition. The input image can consist of only one part to be recognized or can consist of more than one part to be recognized.

Based on the input image, Alarvy 3D Part Recognizer can automatically recognize the parts along with their part name within milliseconds.

Alarvy 3D Part Recognizer took 18 seconds to recognize 6300 images. It is able to complete this with an accuracy of 98.16%.

For OEMs, APIs are available for integrating this Alarvy 3D Part Recognizer. This is an independent engine and is not dependent on AlarvyCAD. It can be integrated in various methods: 1. APIs for integrating the 3D Part Recognizer. 2. 3D Part Recognizer can be directly integrated within any Desktop/Web application.

OEM license for Manufacturing Industries, Machine tool manufactures and CAD/CAM companies are available.

ALARVY Punch/Cut Sequencer

ALARVY Punch/Cut Sequencer is a set of algorithms that can give an optimum punch/cut sequence for sheet metal parts. Punch/cut sequencing algorithms are very fast and powerful and are specifically built for punch sequencing and profile cut sequencing for lasers, waterjets, plasma, etc. Given a set of points, these algorithms basically find the shortest route using various traveling salesman algorithms developed by ALARVY. The following algorithms are used for punch/cut sequencing.

• Zig-Zag Heuristic Algorithms (ZZ)
• Nearest Neighbor Algorithm (NN)
• Genetic Algorithm (GA)

Genetic Algorithm is designed to search for better results than zig-zag and nearest neighbor results. Product is available as 32-bit / 64-bit DLL on Windows platform. OEM license for Machine tool manufactures and CAD/CAM companies are available. Integration or any customized punch/cut sequence development is also undertaken as per your needs.

ALARVY Punch/Cut Sequencer

ALARVY Bend Sequencer(under development)

ALARVY Bend Sequencer is a set of algorithms that can give an optimum bend sequence for sheet metal parts. The following algorithms are used for bend sequencing.

• Heuristic Algorithms
• Genetic Algorithm

Joint development proposals from Machine tool manufactures and CAD/CAM companies are welcome. Customized bend sequence development can also be undertaken as per your needs.

ALARVY Virtual 3D Trade Fair

Trade fairs used to connect vendors with clients to facilitate B2B and B2C interactions. The current pandemic has put a hold on international and local travels to a large extent affecting businesses. A virtual trade fair is a potential alternative to physical trade fairs.

With this web based software, anyone can design a virtual 3D trade fair easily and without any restriction on the area and can be hosted on any webserver/cloud servers.

This software has the following options:

• Hall Creation with any number of horizontal and vertical aisles, any number of booths
• Option to add videos and pictures in the booth walls/floor and resize them
• A navigable Segway with options to move forward/backward/rotate
• Option for bird’s eye view and VR view

Demo Video of ALARVY Virtual 3D Trade Fair

This web application can be potentially used by the following:

• Trade Fair Organizers
• Trade Associations
• Machine Tools Associations
• Tool Supplier Associations
• Software Technology Parks with Multiple Companies
• Special Economic Zones (SEZs)
• Individual Companies with large number of products & services portfolios

For example, 3D-Printing Companies can showcase their products and add details about various vendors selling 3D printing consumables like filaments, resins, SLS powders, metal powders, etc. Machine Tool Companies can showcase their products and their preferred tool vendors, software vendors, material and consumable vendors. Automobile Companies can showcase their products along with details of accessories and preferred vendors.

ALARVY AI/ML Lab Projects

ALARVY 3D Part Recognizer using CNN - This project automatically recognizes parts in manufacturing using CNN. To train the Neural Network, 3D models of the parts to be recognized are used for creating recognition datasets automatically without any user interaction. Given an image/photo containing single/multiple part(s) in any orientation as input, the system recognizes the parts and shows the part name(s). This is a major project executed by Alarvy team and an Indian Patent is granted.

Skin Cancer image classification using CNN - This project aims at classifying picture of moles as either benign or malignant using a CNN.

Time series forecasting for stocks using LSTM - This project predicts the price of a stock using historical stock prices extracted using yahoo finance python module. Various long short term memory neural network architectures like vanilla LSTM, stacked LSTM, bidirectional LSTM, and CNN LSTM are implemented to predict the price of a stock.

Face recognition system using ML - This project performs face recognition by taking a picture either live feed from camera or from a file as input. The LBPH(Local Binary Pattern Histogram) classifier, which is a machine learning algorithm is used for performing face recognition.

Pistachio image classification using CNN - This project aims at classifying pictures of two varieties of pistachio nuts namely, Kirmizi and Siirt by using a CNN.

Rice image classification using CNN - This project aims at classifying pictures of five varieties of rice namely, Arborio, Basmati, Ipsala, Jasmine and Karacadag using a CNN.

Date fruit classification using ANN - This project aims at classifying seven varieties of date fruits namely, Barhee, Deglet Nour, Sukkary, Rotab Mozafati, Ruthana, Safawi, and Sagai using an ANN. Public dataset of these seven types of dates is used in this project. The dataset is generated from images using image processing techniques. The dataset contains a total of 34 features, including morphological features, and external appearance features such as color, length, diameter, and shape.

Kangaroo detection using MRCNN - It identifies Kangaroo in a picture using Mask RCNN, which is a state-of-the-art in terms of image segmentation and instance segmentation.

Study of imbalance dataset handling techniques for ANN/ML - Performed a comparative study on different class imbalance handling techniques like weighted-class method, SMOTE and variants of SMOTE on PIMA Diabetes and Breast cancer dataset, which are imbalanced datasets. ANN performance metrics are compared for imbalanced and balanced data sets.

Enquiries for Custom development of AI/ML project can be sent to support@alarvy.com

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ALARVY 3D Product Configurator

ALARVY can help you to build your own customized parametric 3D modeler to design a family of parts quickly, thereby improving productivity and cost. 3D Product Configurator can be made as a desktop version as well as a webapp version that can be run in any browser. A sample application is shown in the demo video.

Demo Video of ALARVY 3D Product Configurator

Demo Video of ALARVY Custom Parametric 3D Modelers

ALARVY 3DPC Cost Configurator

ALARVY 3D Product Configurator can also be used as a Sales Configurator or a Cost Configurator. Various variants of a model or an assebly can be viewed quickly in 3D and corresponding cost can be displayed. A sample application for Crate Cost Configurator is shown in the video. The parameters are box dimensions like length, width, height, number of dividers in vertical and horizontal directions and the plank thicknesses of box and the dividers. This Configurator creates a 3D model based on the parameters and instantly creates detailed costing. Any changes in the parameters are instantly updated in 3D as well as costing.

Demo Video of ALARVY 3DPC Cost Configurator