emmetcosten, Author at Aerospace Structural Research Corp | Aerospace, Mechanical, and Structural Engineers

What is Finite Element Analysis (FEA) | Engineering Analysis

by emmetcostenMay 9, 2019September 12, 20191 Comment

Finite element analysis (FEA) is the analysis or simulation of a phenomenon using the finite element method (FEM).

New Product Sales Forecasting | Don’t Launch Unprepared

by emmetcostenApril 11, 2019August 2, 2019Leave a comment

Accurately forecasting sales for a new product is difficult. However, if you do the right market research to forecast sales prior to launch you can greatly reduce your risk.

FEA vs Hand Calculations | Predicting Performance Before Prototyping

by emmetcostenApril 2, 2019September 12, 20191 Comment

FEA Background

The finite element analysis (FEA) method is used to model and approximate physical phenomenon through the use of partial differential equations. Engineers apply the finite element method (FEM) through using FEA computer software which provides critical insight into a design’s performance prior to physical testing.

How to Make Patent Drawings | Protect Your Invention

by emmetcostenMarch 21, 2019September 12, 20191 Comment

Do you have an idea that you’re looking to protect? If your answer is yes, then you should be looking at filing a patent. In order to file a patent with the United States Patent and Trademark Office (USPTO) you will first want at least one patent drawing (aka a patent illustration).

7 Key Variables For Product-Market Fit | Finding The Perfect Balance

by emmetcostenMarch 15, 2019September 12, 2019Leave a comment

Successful product development can be a struggle for many startups and established companies. A products success is largely dependent on a development teams ability to achieve the highly sought after product/market fit. With new products it is far more often that the established market champion is the first brand that attains product/market fit and not the first mover. When it comes to finding product/market fit there are 7 product variables that you can fluctuate and iterate on until you obtain an optimal balance. These variables include price, performance, quality, functionality, ergonomics/ease of use, manufacturability, and marketability.