3D Printing with Autodesk: Create and Print 3D Objects with 123D, AutoCAD and Inventor
Bibliographic record
Abstract
3D Printing with Autodesk Create and Print 3D Objects with 123D, AutoCAD, and Inventor Create amazing 3D-printable objects fast with Autodesk 123D! Imagine it. Then print it! Autodesk 123D gives you all the tools you need and its free. This easy, full-color guide will help you fully master 3D printing with Autodesk 123D even if youve never done any of this before. Authors John Biehler and Bill Fane have helped thousands of people join the 3D printing revolutionnow its your turn. With step-by-step photos and simple projects, they teach you how to make the most of the whole 123D suite on Windows, Mac, and iPad. New to 3D printing? Youll learn pro techniques for creating models that print perfectly the first time. Want to start fast? Discover how to scan photos straight into your models. Dont have a 3D printer? Learn how to work with todays most popular 3D printing services. John Biehler discovered 3D printing several years ago and built his first 3D printer shortly thereafter. Since then, hes shared his 3D printing knowledge with thousands of people at live events throughout Canada and the Pacific Northwest and through online and broadcast media. He co-founded Vancouvers fastest-growing group of 3D printing enthusiasts. Bill Fane, an Autodesk Authorized Training Centre (ATC) certified instructor, has designed with AutoCAD since 1986. Fane has lectured on AutoCAD and Inventor at Autodesk University since 1995, and at Destination Desktop since 2003. He has written 220 The Learning Curve AutoCAD tutorials for CADalyst and holds 12 patents. From start to finish, 3D Printing with Autodesk 123D covers all you need to know. So stop waiting and start creating! Quickly get comfortable with the 123D workspace and key features Learn the essentials of effective 3D object design Practice 3D design hands-on with simple guided exercises Generate detailed models from photos with 123D Catch Create new 3D character monsters with 123D Creature Prepare any 3D model for successful printing Move from existing 3D CAD tools (if youve ever used them) Design parts that are easy to print, and multi-part models that can be printed pre-assembled Print through leading 3D printing services such as Shapeways, Ponoko, Fablab, and Hackerspaces
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.251 | 0.169 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".