Creating parts using metal powders requires exceptional high-quality raw materials. Many analytical tools are used to pre-screen metal powders to ensure proper powder flowability, prevent clogging, and ensure adequate particle deposition to guarantee well-made parts. The additive manufacturing process is highly dependent on particle size and shape. Hence the value of dynamic image analysis for [...]
Particle size reduction is a routine method of increasing surface area and making downstream processing more efficient. It is well documented that particle size distribution (PSD) affects powder flowability. However, studies have demonstrated the limitations of particle size analysis – particularly in applications with irregular particles. Ignoring particle shape can lead to significant under-estimation of [...]
Particle size is a critical factor in qualifying abrasive powders. Larger particles typically produce an aggressive cutting action with fast material removal rates, albeit with a poor surface finish. Smaller particles, by contrast, offer a smoother finish with significantly reduced rates of removal. It is the mean particle size distribution (PSD) of abrasive grains that [...]
Material identification is a crucial part of the additive manufacturing process, particularly when dealing with metal powder feedstocks. Although metal powder 3D printing is increasingly common, there are various quality assurance and control (QA/QC) challenges that must be considered. There are strict requirements in terms of flowability and sphericity, for instance, plus a need for [...]
Stem cells are of particular interest for researchers because they begin as undifferentiated and differentiate into specialized cells over time. Significant research has been carried out on stem cells in recent years, exploring how they can help with therapeutics. Analyzing them with a particle shape and size analyzer can help with this. Particle Insight as [...]
