MachineWorks expands the Polygonica team

MachineWorks, a provider of component software, has appointed Richard Baxter as the new Sales Manager for Polygonica.

Richard has an MA in Physics from Cambridge University and has spent twenty-five years working in CAD middleware development, support, technical consulting, implementation, and sales.

He may be a familiar name to some MachineWorks customers due to his time spent working with MachineWorks technology in its early days of its development. He also worked for several years with Tech Soft 3D supporting their product range in the EMEA region. Most recently he has been working as a software developer with DNV GL on design and structural analysis software for ships and offshore structures.

Fenqiang Lin, Managing Director of MachineWorks stated, ‘We are pleased to have Richard back in the business, his technical knowledge in geometric modelling and his wealth of experience in the graphics industry over the last twenty-five years make Richard a crucial asset for the Polygonica team.’

MachineWorks has been supplying software solutions to manufacturers around the world since 1994. Hardware and software manufacturers in the CNC industry integrate MachineWorks toolkit into their own software applications to benefit from simulation and verification technology.

Similarly, hardware and software manufacturers from a wide variety of industries including additive manufacturing, mining and CFD-FEA industries, adopt Polygonica toolkit within their software applications to call on the unique APIs for automatic polygon mesh processing provided.

Polygonica is a solid modelling software toolkit for processing polygon meshes. Built on MachineWorks' core engines, Polygonica's unique polygonal modelling technology takes advantage of 23 years of development providing automatic, fast and robust Boolean operations. Other algorithms in Polygonica allow solid healing, remeshing, simplification, offsetting and point cloud manipulation.

Twitter icon
Google icon icon
Digg icon
LinkedIn icon
Reddit icon
e-mail icon

Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process


Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory


This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.


This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value


This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment