SOLIDWORKS Surface Modelling training course.

Duration: 2 days | Classroom or online | Price on request.

Discover complex modelling and surfacing techniques

The SOLIDWORKS surface modelling course is a 2 day course aimed at engineers and designers who model products with complex shapes, often found in consumer products, moulded and/or cast parts. You will learn to produce free-form shapes using a wide range of surfacing tools. The type of surfaces covered vary from flat standalone surfaces to bridging surfaces with curvature continuity.

You will learn to work with hybrid models (partly solid, partly surface), and will acquire all the necessary techniques to produce parametric designs of ergonomic shapes. You will learn to transform those surface models into solid parts ready to be integrated into assemblies.

You will not only cover the official course curriculum but incorporate lots of tips and techniques on how to achieve smooth shapes with precision and efficiency. At the end of this course you will have an extended knowledge of the various techniques used for complex modelling and surfacing in SOLIDWORKS, allowing you to design robust and elegant products.

Before you attend the course…

Students attending this course are expected to have mechanical design experience and to have completed the SOLIDWORKS Essentials course.

Whilst the Advanced Part Modelling course is not a pre-requisite, it would certainly help you to get the most out of this surfacing course, so we recommend you attend that too. Get in touch if you want to discuss this with our experts.

Upcoming SOLIDWORKS Surface Modelling training courses.

Start date
Duration
Level
Course
Book
Location
Start date9th January 2025
Duration2 days
LevelIntermediate
LocationOnline

For more information on our online SOLIDWORKS training courses,
please call us on 01223 200690, or send us a message below.

    *Required fields


    Tick to receive news & special offers via email. nohidden
    View our privacy policy for details on use & storage of your personal data.