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4 layers143 × 74 mmKitspace lpa96, the printed circuit board in 3D

Kitspace lpa96

PCBench/PCBench21

resolution = [0.5, 0.5] pcbfolder = '../PCBs/' pcbnames = ["1Bitsy1bitsy"] iters = 30 env = PCBRoutingEnv(resolution=resolution, pcbfolder=pcbfolder, pcbnames=pcbnames) obs, info = env.reset() for in range(iters): act =…

Size
143 × 74 mm
Copper layers
4
Thickness
1.6 mm
Parts
161
Nets
150
Pads
502
Tracks, vias
1,659, 309
Routed
Yes
KiCad
KiCad 5 (file 20171130)
Created
28 Mar 2023
Updated
18 Jan 2024

Overview

Kitspace lpa96 is an open-source printed circuit board by PCBench, from the PCBench/PCBench repository on GitHub, published under the MIT licence. It is a 4-layer board of 143 × 74 mm with 161 parts on 150 nets, routed with 1,659 tracks and 309 vias.

It is built around the ATMEGA328-AU, TLC5941RHB and LD1117S33. Its parts include 99 diodes, 16 resistors, 12 capacitors, 9 ICs and 2 connectors. It belongs with the AVR (ATmega, ATtiny) boards of this library.

Main components

3

README

README.md

PCBench: A Dataset for Printed Circuit Board Routing

PCBench is a dataset for PCB routing task, it includes a dataset consisting of 164 printed circuit boards (PCB), a data augmentation script to expand the dataset for supervised learning (SL) tasks, and a reinforcement learning (RL) environment.

Dataset

Folder Structure

All the PCB designs in our dataset are stored in the folder PCBs, where each PCB design is stored in a subfolder named {author/org}_{PCB_name}_{design_version(optional)}. Below is the folder structure of the dataset.

text
├── PCBs
│   ├── master_metadata.json
│   ├── subfolder1
│   │   ├── raw.kicad_pcb
│   │   ├── processed.kicad_pcb
│   │   ├── final.json
│   │   ├── metadata.json
│   │   ├── visual.png
│   ├── subfolder2
│   │   ├── raw.kicad_pcb
│   │   ├── processed.kicad_pcb
│   │   ├── final.json
│   │   ├── metadata.json
│   │   ├── visual.png
│   ├── ...

The raw.kicad_pcb is the raw PCB design file, process.kicad_pcb is the file after cleaning up, final.json stores only routing-related information used for ML tasks. metadata.json stores the meta information for each single PCB design. visual.png is a visualization of each single PCB design. master_meta.json contains metadata of all PCBs and global-level information.

PCB Routing Description Language (PCB-RDL)

We propose a JSON specification (final.json for each PCB design) called the PCB Routing Description Language (PCB-RDL) that expresses a PCB routing problem and its solutions intuitively using basic concepts in order to facilitate research into automated PCB routing using ML. Following figure shows is an example of PCB with marked components in PCB-RDL (Left) and it corrsponding PCB-RDL (Right).

PCB example

Data Augmentation

Run

The augmentation data can be generated with the script Scripts/Data_augmentation/augmentation.py. To generate 3 samples by randomly extracting 50% nets from the PCB 1Bitsy_1bitsy, please run the following command

text
cd Scripts/Data_augmentation/
python augmentation.py --num_samples 3 --net_ratio 0.5 --pcb_name 1Bitsy_1bitsy

Output

All the generated PCBs will be stored in the folder named augmented_data under Scripts/Data_augmentation/. In augmented_data, all the generated samples will be stored in a subfolder with the name of selected PCB. Each generated sample has the name sample_index.json. For example, the above command will generate the following file under Scripts/Data_augmentation/

text
├── augmented_data
│   ├── 1Bitsy_1bitsy
│   │   ├── 1.json
│   │   ├── 2.json
│   │   ├── 3.json

RL environment

Installation

The RL environment requires Python >= 3.7. You can simply install the environment with the following commands:

text
git clone https://github.com/PCBench/PCBench.git
cd PCBench
python setup.py install

After installation, open a Python console and type

text
from RLEnv.EnvLayer.PCBRoutingEnv import PCBRoutingEnv

If no error occurs, you have successfully installed the PCB routing environment.

API Usage

The following content shows an example of API usage of PCBRoutingEnv.

text
from RLEnv.EnvLayer.PCBRoutingEnv import PCBRoutingEnv
import random

resolution = [0.5, 0.5]
pcb_folder = '../PCBs/'
pcb_names = ["1Bitsy_1bitsy"]
iters = 30
env = PCBRoutingEnv(resolution=resolution, pcb_folder=pcb_folder, pcb_names=pcb_names)
obs, info = env.reset()
for _ in range(iters):
    act = random.randint(0,5)
    obs, rew, terminal, _, info = env.step(act)
    if terminal:
        env.reset()

You can find more examples of customizing functions of reward and state observation from RLEnv/examples.ipynb.

Parts

161
QtyValueFootprintReferences
96LED_ALTlpa96_footprints:VLDx1232GLED1, LED2, LED10, LED11, LED12, LED13, LED14, LED15, LED16, LED17, LED18, LED19, LED20, LED21, LED22, LED23 +80
8100nFCapacitor_SMD:C_0805_2012MetricC1, C2, C6, C7, C8, C9, C10, C11
62.2kResistor_SMD:R_0805_2012MetricR3, R4, R5, R6, R7, R8
6P***Connect:1pin1PIN1, 1PIN2, 1PIN3, 1PIN4, 1PIN5, 1PIN6
6TLC5941lpa96_footprints:TLC5941_PWP_28U3, U4, U5, U6, U7, U8
547kResistor_SMD:R_0805_2012MetricR15, R16, R17, R18, R19
3330RResistor_SMD:R_0805_2012MetricR9, R10, R11
3LED_ALTLED_SMD:LED_0805_2012MetricLED97, LED98, LED99
210kResistor_SMD:R_0805_2012MetricR1, R2
210uFCapacitor_SMD:C_1206_3216MetricC5, C12
247uFlpa96_footprints:CP_Elec_6.3x5.3C3, C4
110uHlpa96_footprints:L-1210L1
1ATMEGA328-Alpa96_footprints:TQFP32_FIXEDIC1
1CONN_2lpa96_footprints:PIN_ARRAY_2X1_3960umP1
1CONN_3X2lpa96_footprints:pin_array_3x2P2
1LD1117S33lpa96_footprints:SOT223U2
1RESONATEURlpa96_footprints:crystal_smdY1
1SD_CARDlpa96_footprints:SD_CONNU1
1SW_PUSHlpa96_footprints:SW_PUSH_SMDSW1

The 147 most common of 161 parts.

Questions

How big is the Kitspace lpa96 PCB?

It measures 143 × 74 mm and has 4 copper layers, 1.6 mm thick.

What parts does the Kitspace lpa96 use?

161 parts, built around the ATMEGA328-AU, TLC5941RHB and LD1117S33. The full list of its parts is on this page, with links to each part's symbol and footprint where PCBKit's library has them.

Where can I download the Kitspace lpa96 KiCad files?

From the PCBench/PCBench repository on GitHub, at the commit this page was made from: the board is PCBs/kitspace_lpa96/processed.kicad_pcb. PCBKit opens the board in the browser, with nothing to install.

Can I use the Kitspace lpa96 design in my own project?

Its repository publishes it under the MIT licence: you may reuse it on that licence's terms (keep the author's notice, and for a copyleft licence share your changes alike).

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