I don't think you are going to need 40G worth of memory allocated for that file. Try using only 16G , unless your CSV file has very long strings (like whole sentences or paragraphs of text) within it.
You might have some options checkboxes ticked to do pre-processing on the CSV during import that are causing more memory or storage to be consumed.
I'd suggest a few things to lower memory and disk storage overhead:
Don't worry about Parsing cell text into numbers, dates, until after you have imported.
If it is regular ASCII text and not UTF-8, then select the Character encoding as ASCII on the CSV importer.
Don't store blank rows (they are likely unnecessary)
Verify that your CSV is really comma separated values in a file editor. (It might be tabs, or some custom chars you are missing.)
Double check your quote char that's being used inside the CSV file, it might be single quotes instead of regular double quotes or some different char, and if so, change that option slightly to Use character [ ' ] to enclose cells containing column separators.
But first, try using the option:
Load at most [10] rows(s) of data
to see if it can load only 10 rows but still has the same error. That would mean something else is likely going on.
Check the OpenRefine console logs and tell us if you see more detailed errors you can copy/paste in a reply.