Airopak, a unit of PVC Container Corp.: Selection guide

A new selection guide from Airopak (Manchester, PA) outlines its selection of in-line fluorinated and ultra-clean HDPE containers for packaging of solvent-based and ultra-pure products.

Airopack

Oct 31, 1998

Dimensional drawings detail each of eight container styles offered. Specification charts provide weight, neck finish and dimensions for 29 containers ranging in capacity from 1 pt to 21/2 gal. Containers are offered in white, natural and custom colors, with p-s labeling, sleeve labeling, screen printing and heat-transfer labeling.

Airopack

Fill out the form below to request more information about Airopak, a unit of PVC Container Corp.: Selection guide

Machinery Basics

Learn About 4 Different Types of Wrapping Machines for Your Product

10 Different Types of Labeling Machines for Your Product

What are the Different Types of Multipacking Equipment?

Get a Quick Overview of Conveyors

IBM’s Bill Green spoke at ISTA’s TransPack about pushing for sustainable practices and telling your sustainability story.

IBM's Bill Green Says Sustainability Can and Should Be Everyone's Job

At the ISTA Forum's TransPack, Green said that beyond the business and moral case for reducing carbon impact, environmental regulations around the globe are increasing and getting more diverse, and companies must be ready.

Sarah Dumont (left) and Ezekiel Guevarra (right) received scholarships for distinguished performance in Clemson's Packaging Science program.

Clemson Announces Spring 2024 Outstanding Packaging Science Senior Award Winners

Cloud data storage can act as a backup for disaster recovery.

Data and Analytics Management Varies Across Companies

Materne used procurement software on its latest carton RFP to bolster its supplier network and save $1 million per year.

Applesauce Maker Fortifies Supply Chain with Procurement Tech

Pail Filling: Highly Accurate Fill Cycles Ensure Optimal Yield & Rate

How AI is reshaping CPG manufacturing operations

Today’s CPG companies are faced with mounting challenges in their manufacturing operations. You have the data that could help you, but can you turn that data into knowledge? See how artificial intelligence can help. Learn what’s working for Pfizer, Post, and Smithfield.